Insurance Securitization

Securitization is the financial practice of pooling various types of contractual debt such as residential mortgages, commercial mortgages, auto loans or credit card debt obligations (or other non-debt assets which generate receivables) and selling their related cash flows to third party investors as securities, which may be described as bonds, pass-through securities, or collateralized debt obligations (CDOs). Investors are repaid from the principal and interest cash flows collected from the underlying debt and redistributed through the capital structure of the new financing. Securities backed by mortgage receivables are called mortgage-backed securities (MBS), while those backed by other types of receivables are asset-backed securities (ABS).

The granularity of pools of securitized assets can mitigate the credit risk of individual borrowers. Unlike general corporate debt, the credit quality of securitized debt is non-stationary due to changes in volatility that are time- and structure-dependent. If the transaction is properly structured and the pool performs as expected, the credit risk of all tranches of structured debt improves; if improperly structured, the affected tranches may experience dramatic credit deterioration and loss.

Advantages to issuer

Reduces funding costs: Through securitization, a company rated BB but with AAA worthy cash flow would be able to borrow at possibly AAA rates. This is the number one reason to securitize a cash flow and can have tremendous impacts on borrowing costs. The difference between BB debt and AAA debt can be multiple hundreds of basis points. For example, Moody’s downgraded Ford Motor Credit’s rating in January 2002, but senior automobile backed securities, issued by Ford Motor Credit in January 2002 and April 2002, continue to be rated AAA because of the strength of the underlying collateral and other credit enhancements.

Reduces asset-liability mismatch: “Depending on the structure chosen, securitization can offer perfect matched funding by eliminating funding exposure in terms of both duration and pricing basis.” Essentially, in most banks and finance companies, the liability book or the funding is from borrowings. This often comes at a high cost. Securitization allows such banks and finance companies to create a self-funded asset book.

Lower capital requirements: Some firms, due to legal, regulatory, or other reasons, have a limit or range that their leverage is allowed to be. By securitizing some of their assets, which qualifies as a sale for accounting purposes, these firms will be able to remove assets from their balance sheets while maintaining the “earning power” of the assets.

Locking in profits: For a given block of business, the total profits have not yet emerged and thus remain uncertain. Once the block has been securitized, the level of profits has now been locked in for that company, thus the risk of profit not emerging, or the benefit of super-profits, has now been passed on.

Transfer risks (credit, liquidity, prepayment, reinvestment, asset concentration): Securitization makes it possible to transfer risks from an entity that does not want to bear it, to one that does. Two good examples of this are catastrophe bonds and Entertainment Securitizations. Similarly, by securitizing a block of business (thereby locking in a degree of profits), the company has effectively freed up its balance to go out and write more profitable business.

Off balance sheet: Derivatives of many types have in the past been referred to as “off-balance-sheet”. This term implies that the use of derivatives has no balance sheet impact. While there are differences among the various accounting standards internationally, there is a general trend towards the requirement to record derivatives at fair value on the balance sheet. There is also a generally accepted principle that, where derivatives are being used as a hedge against underlying assets or liabilities, accounting adjustments are required to ensure that the gain/loss on the hedged instrument is recognized in the income statement on a similar basis as the underlying assets and liabilities. Certain credit derivatives products, particularly Credit Default Swaps, now have more or less universally accepted market standard documentation. In the case of Credit Default Swaps, this documentation has been formulated by the International Swaps and Derivatives Association (ISDA) who have for a long time provided documentation on how to treat such derivatives on balance sheets.

Earnings: Securitization makes it possible to record an earnings bounce without any real addition to the firm. When a securitization takes place, there often is a “true sale” that takes place between the Originator (the parent company) and the SPE. This sale has to be for the market value of the underlying assets for the “true sale” to stick and thus this sale is reflected on the parent company’s balance sheet, which will boost earnings for that quarter by the amount of the sale. While not illegal in any respect, this does distort the true earnings of the parent company.

Admissibility: Future cashflows may not get full credit in a company’s accounts (life insurance companies, for example, may not always get full credit for future surpluses in their regulatory balance sheet), and a securitization effectively turns an admissible future surplus flow into an admissible immediate cash asset.

Liquidity: Future cashflows may simply be balance sheet items which currently are not available for spending, whereas once the book has been securitized, the cash would be available for immediate spending or investment. This also creates a reinvestment book which may well be at better rates.

Disadvantages to issuer

May reduce portfolio quality: If the AAA risks, for example, are being securitized out, this would leave a materially worse quality of residual risk.

Costs: Securitizations are expensive due to management and system costs, legal fees, underwriting fees, rating fees and ongoing administration. An allowance for unforeseen costs is usually essential in securitizations, especially if it is an atypical securitization.

Size limitations: Securitizations often require large scale structuring, and thus may not be cost-efficient for small and medium transactions.

Risks: Since securitization is a structured transaction, it may include par structures as well as credit enhancements that are subject to risks of impairment, such as prepayment, as well as credit loss, especially for structures where there are some retained strips.

Advantages to investors

Opportunity to potentially earn a higher rate of return (on a risk-adjusted basis)

Opportunity to invest in a specific pool of high quality assets: Due to the stringent requirements for corporations (for example) to attain high ratings, there is a dearth of highly rated entities that exist. Securitizations, however, allow for the creation of large quantities of AAA, AA or A rated bonds, and risk averse institutional investors, or investors that are required to invest in only highly rated assets, have access to a larger pool of investment options.

Portfolio diversification: Depending on the securitization, hedge funds as well as other institutional investors tend to like investing in bonds created through securitizations because they may be uncorrelated to their other bonds and securities.

Isolation of credit risk from the parent entity: Since the assets that are securitized are isolated (at least in theory) from the assets of the originating entity, under securitization it may be possible for the securitization to receive a higher credit rating than the “parent”, because the underlying risks are different. For example, a small bank may be considered more risky than the mortgage loans it makes to its customers; were the mortgage loans to remain with the bank, the borrowers may effectively be paying higher interest (or, just as likely, the bank would be paying higher interest to its creditors, and hence less profitable).

Risks to investors

Liquidity risk

Credit/default: Default risk is generally accepted as a borrower’s inability to meet interest payment obligations on time. For ABS, default may occur when maintenance obligations on the underlying collateral are not sufficiently met as detailed in its prospectus. A key indicator of a particular security’s default risk is its credit rating. Different tranches within the ABS are rated differently, with senior classes of most issues receiving the highest rating, and subordinated classes receiving correspondingly lower credit ratings. Almost all mortgages, including reverse mortgages, and student loans, are now insured by the government, meaning that taxpayers are on the hook for any of these loans that go bad even if the asset is massively over-inflated. In other words, there are no limits or curbs on over-spending, or the liabilities to taxpayers.

However, the credit crisis of 2007–2008 has exposed a potential flaw in the securitization process loan originators retain no residual risk for the loans they make, but collect substantial fees on loan issuance and securitization, which doesn’t encourage improvement of underwriting standards.

Event risk

Prepayment/reinvestment/early amortization: The majority of revolving ABS are subject to some degree of early amortization risk. The risk stems from specific early amortization events or payout events that cause the security to be paid off prematurely. Typically, payout events include insufficient payments from the underlying borrowers, insufficient excess spread, a rise in the default rate on the underlying loans above a specified level, a decrease in credit enhancements below a specific level, and bankruptcy on the part of the sponsor or servicer.

Currency interest rate fluctuations: Like all fixed income securities, the prices of fixed rate ABS move in response to changes in interest rates. Fluctuations in interest rates affect floating rate ABS prices less than fixed rate securities, as the index against which the ABS rate adjusts will reflect interest rate changes in the economy. Furthermore, interest rate changes may affect the prepayment rates on underlying loans that back some types of ABS, which can affect yields. Home equity loans tend to be the most sensitive to changes in interest rates, while auto loans, student loans, and credit cards are generally less sensitive to interest rates.

Contractual agreements

Moral hazard: Investors usually rely on the deal manager to price the securitizations’ underlying assets. If the manager earns fees based on performance, there may be a temptation to mark up the prices of the portfolio assets. Conflicts of interest can also arise with senior note holders when the manager has a claim on the deal’s excess spread.

Servicer risk: The transfer or collection of payments may be delayed or reduced if the servicer becomes insolvent. This risk is mitigated by having a backup servicer involved in the transaction.

Special types of securitization

Master trust

A master trust is a type of SPV particularly suited to handle revolving credit card balances, and has the flexibility to handle different securities at different times. In a typical master trust transaction, an originator of credit card receivables transfers a pool of those receivables to the trust and then the trust issues securities backed by these receivables. Often there will be many tranched securities issued by the trust all based on one set of receivables. After this transaction, typically the originator would continue to service the receivables, in this case the credit cards.

There are various risks involved with master trusts specifically. One risk is that timing of cash flows promised to investors might be different from timing of payments on the receivables. For example, credit card-backed securities can have maturities of up to 10 years, but credit card-backed receivables usually pay off much more quickly. To solve this issue these securities typically have a revolving period, an accumulation period, and an amortization period. All three of these periods are based on historical experience of the receivables. During the revolving period, principal payments received on the credit card balances are used to purchase additional receivables. During the accumulation period, these payments are accumulated in a separate account. During the amortization period, new payments are passed through to the investors.

A second risk is that the total investor interests and the seller’s interest are limited to receivables generated by the credit cards, but the seller (originator) owns the accounts. This can cause issues with how the seller controls the terms and conditions of the accounts. Typically to solve this, there is language written into the securitization to protect the investors and potential receivables.

A third risk is that payments on the receivables can shrink the pool balance and under-collateralize total investor interest. To prevent this, often there is a required minimum seller’s interest, and if there was a decrease then an early amortization event would occur.

Issuance trust

In 2000, Citibank introduced a new structure for credit card-backed securities, called an issuance trust, which does not have limitations that master trusts sometimes do, that requires each issued series of securities to have both a senior and subordinate tranche. There are other benefits to an issuance trust: they provide more flexibility in issuing senior/subordinate securities, can increase demand because pension funds are eligible to invest in investment-grade securities issued by them, and they can significantly reduce the cost of issuing securities. Because of these issues, issuance trusts are now the dominant structure used by major issuers of credit card-backed securities.

Grantor trust

Grantor trusts are typically used in automobile-backed securities and REMICs (Real Estate Mortgage Investment Conduits). Grantor trusts are very similar to pass-through trusts used in the earlier days of securitization. An originator pools together loans and sells them to a grantor trust, which issues classes of securities backed by these loans. Principal and interest received on the loans, after expenses are taken into account, are passed through to the holders of the securities on a pro-rata basis.

Owner trust

In an owner trust, there is more flexibility in allocating principal and interest received to different classes of issued securities. In an owner trust, both interest and principal due to subordinate securities can be used to pay senior securities. Due to this, owner trusts can tailor maturity, risk and return profiles of issued securities to investor needs. Usually, any income remaining after expenses is kept in a reserve account up to a specified level and then after that, all income is returned to the seller. Owner trusts allow credit risk to be mitigated by over-collateralization by using excess reserves and excess finance income to prepay securities before principal, which leaves more collateral for the other classes.

Non-Life Insurance

Non-life insurance is any type of insurance other than life insurance. While life insurance is broken down into permanent and term life policies, non-life insurance includes many types of other insurance policies. Non-life insurance may cover people, property or legal liabilities.

General insurance or non-life insurance policies, including automobile and homeowners’ policies, provide payments depending on the loss from a particular financial event. General insurance is typically defined as any insurance that is not determined to be life insurance. It is called property and casualty insurance in the United States and Canada and non-life insurance in Continental Europe.

Types of general insurance

General insurance can be categorised in to following:

  • Motor Insurance: Motor Insurance can be divided into two groups, two and four wheeled Vehicle insurance.
  • Health insurance: Common types of health insurance includes: individual health insurance, family floater health insurance, comprehensive health insurance and critical illness insurance.
  • Travel insurance: Travel insurance can be broadly grouped into: individual travel policy, family travel policy, student travel insurance, and senior citizen health insurance.
  • Home insurance: Home insurance protects a house and its contents.
  • Marine Insurance: Marine cargo insurance covers goods, freight, cargo, and other interests against loss or damage during transit by rail, road, sea and/or air.
  • Commercial Insurance: Commercial insurance encompasses solutions for all sectors of the industry arising out of business operations.
  • Accident Insurance: Accidents of different types are possible at any time, at any place and in case of any person or object. Persons and vehicles are more prone to accidents causing injuries and damages.
  • Fire Insurance: In order to get the asset, stock or machines insured against fire, a proposal form is to be filled in and submitted to the insurance company. The insurance company examines the proposal with due regards to various factors and the periodical amount of premium is fixed. A insurance policy is then issued in favour of the applicant
  • Theft Insurance
  • Property Insurance
  • Aviation insurance
  • Livestock insurance
  • Crop insurance

Examples of Non-Life Insurance

Some common examples of non-life insurance include:

  • Auto insurance
  • Property insurance
  • Health insurance
  • Accident insurance
  • Travel insurance
  • Disaster insurance (fire, flood, earthquake, etc.)
  • Credit insurance
  • Mortgage insurance

Pricing of Insurance products

Schedule Rating Method

Insurance pricing methods also known as rate making provide baseline or standard rates that form the basis for pricing individual case scenarios. Different pricing methods may rely more heavily on baseline rates when other factors like risk and claims history are involved. The schedule rating method uses baseline rates as a starting point and then factors in other variables depending on the degree of risk they carry, according to ThisMatter, a financial planning resource site. Schedule rating methods are used within the commercial property insurance industry, where factors like location, size and business purpose provide baseline indicators for determining pricing rates. Baseline indicators rely on identified risk factors found within a group or class of policyholders that have similar characteristics such as age, sex and line of work. These indicators provide the starting points, or baseline rates, used to calculate a premium rate for individual policyholders.

Retrospective Rating Method

Some types of insurance provide protection against risks that are less predictable than the risks covered by other types of insurance. An example of this would be burglary insurance where the odds of predicting how often a business would be burglarized are more difficult than predicting health risks, such as heart disease or diabetes with health insurance ratings. According to ThisMatter, the retrospective rating method relies more on a policyholder’s actual claims experience when setting pricing rates as opposed to baselines, or standard pricing rates. In order to do this, a company may require premium payments be made in increments, with a portion due at the start of a policy term and the remainder due at the end of a policy term. In the case of burglary insurance, the amount of the remaining premium payment is based on whether a burglary occurred since the start of the policy period.

Experience Rating Method

Experience rating pricing methods rely more heavily on a policyholder’s past claim experience when determining what premium rates to charge. The types of insurance that use this method include automobile, workers compensation and general liability insurance. Price rates are determined according to a credibility factor, which uses a person’s past claim history as an indication of the level of risk involved and the likelihood that future claims will be filed. Once a risk level is determined, the credibility factor is measured against a baseline pricing rate that represents to average rate charged to a class of policyholders that have similar characteristics. Adjustments are then made to the baseline pricing rate based on each policyholder’s credibility rating.

Insurers must effectively adapt to new technological, market, and consumer complexities with better, more dynamic pricing if they want to maintain competitive advantage in the insurance industry. Here’s why:

  • There is increased price and value transparency. A fast-growing collection of price and feature-comparison websites empowers consumers to compare and contrast hundreds of insurance products by price, value, and benefits. These sites are also educating consumers on how to more effectively match a product choice with their unique needs and willingness to pay, as are insurance brokers.
  • Consumers are more informed and sophisticated. As prices have become more transparent, consumers are increasingly open to new propositions based on different variables such as security, mobility, and different types of coverage and these propositions require new, dynamic pricing structures.
  • Regulations are putting pressure on profitability. New regulations, including Solvency II, require insurers to maintain higher capital levels without decreasing overall returns, and to do that, insurers must either reduce costs or increase pricing.
  • New entrants are bringing focused, superior propositions. The insurance industry is diversifying, with e-commerce, automotive OEMs, retailers, and other nontraditional players offering new, innovative business models and products.
  • New technology disruptors are enabling new pricing models. Big data, the Internet of Things, and predictive data analysis tools are giving insurance companies an advanced and broad ability to design usage based and other innovative pricing models; draw data from new, external sources and estimate risk or consumer willingness to pay, buy, or churn more accurately; and more accurately identify during the underwriting phase those applicants likely to commit fraud.

Reinsurance, Bancassurance

Reinsurance

Reinsurance is also known as insurance for insurers or stop-loss insurance. Reinsurance is the practice whereby insurers transfer portions of their risk portfolios to other parties by some form of agreement to reduce the likelihood of paying a large obligation resulting from an insurance claim.

The party that diversifies its insurance portfolio is known as the ceding party. The party that accepts a portion of the potential obligation in exchange for a share of the insurance premium is known as the reinsurer.

How Reinsurance Works

Reinsurance allows insurers to remain solvent by recovering some or all amounts paid to claimants. Reinsurance reduces the net liability on individual risks and catastrophe protection from large or multiple losses. The practice also provides ceding companies, those that seek reinsurance, the capacity to increase their underwriting capabilities in terms of the number and size of risks.

Benefits of Reinsurance

By covering the insurer against accumulated individual commitments, reinsurance gives the insurer more security for its equity and solvency by increasing its ability to withstand the financial burden when unusual and major events occur.

Through reinsurance, insurers may underwrite policies covering a larger quantity or volume of risk without excessively raising administrative costs to cover their solvency margins. In addition, reinsurance makes substantial liquid assets available to insurers in case of exceptional losses.

Reinsurance is insurance that an insurance company purchases from another insurance company to insulate itself (at least in part) from the risk of a major claims event. With reinsurance, the company passes on (“cedes”) some part of its own insurance liabilities to the other insurance company. The company that purchases the reinsurance policy is called a “ceding company” or “cedent” or “cedant” under most arrangements. The company issuing the reinsurance policy is referred simply as the “reinsurer”. In the classic case, reinsurance allows insurance companies to remain solvent after major claims events, such as major disasters like hurricanes and wildfires. In addition to its basic role in risk management, reinsurance is sometimes used to reduce the ceding company’s capital requirements, or for tax mitigation or other purposes.

A company that purchases reinsurance pays a premium to the reinsurance company, who in exchange would pay a share of the claims incurred by the purchasing company. The reinsurer may be either a specialist reinsurance company, which only undertakes reinsurance business, or another insurance company. Insurance companies that accept reinsurance refer to the business as ‘assumed reinsurance’.

There are two basic methods of reinsurance:

  • Facultative Reinsurance, which is negotiated separately for each insurance policy that is reinsured. Facultative reinsurance is normally purchased by ceding companies for individual risks not covered, or insufficiently covered, by their reinsurance treaties, for amounts in excess of the monetary limits of their reinsurance treaties and for unusual risks. Underwriting expenses, and in particular personnel costs, are higher for such business because each risk is individually underwritten and administered. However, as they can separately evaluate each risk reinsured, the reinsurer’s underwriter can price the contract more accurately to reflect the risks involved. Ultimately, a facultative certificate is issued by the reinsurance company to the ceding company reinsuring that one policy.
  • Treaty Reinsurance means that the ceding company and the reinsurer negotiate and execute a reinsurance contract under which the reinsurer covers the specified share of all the insurance policies issued by the ceding company which come within the scope of that contract. The reinsurance contract may obligate the reinsurer to accept reinsurance of all contracts within the scope (known as “obligatory” reinsurance), or it may allow the insurer to choose which risks it wants to cede, with the reinsurer obligated to accept such risks (known as “facultative-obligatory” or “fac oblig” reinsurance).

There are two main types of treaty reinsurance, proportional and non-proportional, which are detailed below. Under proportional reinsurance, the reinsurer’s share of the risk is defined for each separate policy, while under non-proportional reinsurance the reinsurer’s liability is based on the aggregate claims incurred by the ceding office. In the past 30 years there has been a major shift from proportional to non-proportional reinsurance in the property and casualty fields.

Functions

Almost all insurance companies have a reinsurance program. The ultimate goal of that program is to reduce their exposure to loss by passing part of the risk of loss to a reinsurer or a group of reinsurers.

Risk transfer

With reinsurance, the insurer can issue policies with higher limits than would otherwise be allowed, thus being able to take on more risk because some of that risk is now transferred to the re-insurer.

Income smoothing

Reinsurance can make an insurance company’s results more predictable by absorbing large losses. This is likely to reduce the amount of capital needed to provide coverage. The risks are spread, with the reinsurer or reinsurers bearing some of the loss incurred by the insurance company. The income smoothing arises because the losses of the cedant are limited. This fosters stability in claim payouts and caps indemnification costs.

Surplus relief

Proportional Treaties (or “pro-rata” treaties) provide the cedent with “surplus relief”; surplus relief being the capacity to write more business and/or at larger limits.

Arbitrage

The insurance company may be motivated by arbitrage in purchasing reinsurance coverage at a lower rate than they charge the insured for the underlying risk, whatever the class of insurance.

Bancassurance

Bancassurance is an arrangement between a bank and an insurance company allowing the insurance company to sell its products to the bank’s client base. This partnership arrangement can be profitable for both companies. Banks earn additional revenue by selling insurance products, and insurance companies expand their customer bases without increasing their sales force or paying agent and broker commissions.

This partnership arrangement can be profitable for both companies. Banks can earn additional revenue by selling the insurance products, while insurance companies are able to expand their customer base without having to expand their sales forces or pay commissions to insurance agents or brokers. Bancassurance has proved to be an effective distribution channel in a number of countries in Europe, Latin America, Asia, and Australia.

The Advantages and Disadvantages of Bancassurance

Bancassurance offers many benefits to customers, one of which is convenience. The bank is a one-stop-shop for all financial needs. For the banks and insurance companies, bancassurance increases revenue diversification for the bank and brings greater volume and profit for both players.

These factors are contributing to the growth of bancassurance across the world. The restraining factors of the global bancassurance market are the risks associated with the reputation of banks and the stringent rules and regulations enforced in some regions.

Bancassurance remains prohibited in some countries. However, the global trend is toward the liberalization of banking laws and the opening up of domestic markets to foreign firms.

Business models across the world

‘Integrated models’ is insurance activity deeply integrated with bank’s processes. Premium is usually collected by the bank, usually direct debit from customer’s account held in that bank. New business data entry is done in the bank branches and workflows between the bank and the insurance companies are automated. In most cases, asset management is done by the bank’s asset management subsidiary.

Insurance products are distributed by branch staff, which is sometimes supported by specialised insurance advisers for more sophisticated products or for certain types of clients. Life insurance products are fully integrated in the bank’s range of savings and investment products and the trend is for branch staff to sell a growing number of insurance products that are becoming farther removed from its core business, e.g., protection, health, or non-life products.

Products are mainly medium and long-term tax-advantaged investment products. They are designed specifically for bancassurance channels to meet the needs of branch advisers in terms of simplicity and similarity with banking products. In particular, these products often have a low-risk insurance component.

Bank branches receive commissions for the sale of life insurance products. Part of the commissions can be paid to branch staff as commissions or bonuses based on the achievement of sales targets.

‘Non-integrated Models’: The sale of life insurance products by branch staff has been limited by regulatory constraints since most investment-based products can only be sold by authorised financial advisers who have obtained a minimum qualification.

Banks have therefore set up networks of financial advisers authorised to sell regulated insurance products. They usually operate as tied agents and sell exclusively the products manufactured by the bank’s in-house insurance company or its third-party providers.

A proactive approach is used to generate leads for the financial advisers from the customer base, including through mailings and telesales. There is increasing focus on developing relationships with the large number of customers who rarely or never visit a bank branch.

Financial planners are typically employed by the bank or building society rather than the life company and usually receive a basic salary plus a bonus element based on a combination of factors including sales volumes, persistency, and product mix.

Following the reform of the polarisation regime, banks will have the possibility to become multi-tied distributors offering a range of products from different providers. This has the potential to strengthen the position of bancassurers by allowing them to meet their customers’ needs.

Role and Importance of Actuary

An actuary is a business professional who deals with the measurement and management of risk and uncertainty. The name of the corresponding field is actuarial science. These risks can affect both sides of the balance sheet and require asset management, liability management, and valuation skills. Actuaries provide assessments of financial security systems, with a focus on their complexity, their mathematics, and their mechanisms.

While the concept of insurance dates to antiquity, the concepts needed to scientifically measure and mitigate risks have their origins in the 17th century studies of probability and annuities. Actuaries of the 21st century require analytical skills, business knowledge, and an understanding of human behavior and information systems to design and manage programs that control risk.[6] The actual steps needed to become an actuary are usually country-specific; however, almost all processes share a rigorous schooling or examination structure and take many years to complete.

The profession has consistently been ranked as one of the most desirable.[8] In various studies, being an actuary was ranked number one or two multiple times since 2010 and in the top 20 for most of the past decade.

An actuary is a professional who specialises in the field of analysing financial risks by implementing statistical, financial and mathematical theories. In insurance, actuaries aid in assessing risks which help companies in the estimation of premiums for their policies.

Role of an Actuary in an Insurance Company

It is ideal for insurance companies to create policies that bear minimal risk and can generate stable returns. Estimating risk and return from each proposal also in turn aids in assuring policyholders that their claims will be settled.

With regards to insurance, actuarial practices involve analysing factors related to a customer’s life expectancy, construction of mortality tables that help one to have a measurement of predictability and offering insight to brokers.

Actuarial science mostly finds its application in the life insurance mortality analysis. However, they can also be applied in case of other general insurance fields like property and liability insurance.

Sometimes recommendations for the determination of premium for insurance policies made by actuaries can also have a positive impact on the behaviour of policyholders. For instance, premium payable by non-smokers for life insurance policies is often significantly lesser than that for smokers. This might push individuals to quit smoking to avail their life insurance policies at a lower premium.

Responsibilities

Actuaries use skills primarily in mathematics, particularly calculus-based probability and mathematical statistics, but also economics, computer science, finance, and business. For this reason, actuaries are essential to the insurance and reinsurance industries, either as staff employees or as consultants; to other businesses, including sponsors of pension plans; and to government agencies such as the Government Actuary’s Department in the United Kingdom or the Social Security Administration in the United States of America. Actuaries assemble and analyze data to estimate the probability and likely cost of the occurrence of an event such as death, sickness, injury, disability, or loss of property. Actuaries also address financial questions, including those involving the level of pension contributions required to produce a certain retirement income and the way in which a company should invest resources to maximize its return on investments in light of potential risk. Using their broad knowledge, actuaries help design and price insurance policies, pension plans, and other financial strategies in a manner that will help ensure that the plans are maintained on a sound financial basis.

Expected Claim Costs, Risk Classification

Expected claim cost: Claim cost must be paid by the insurer for a contract or group of contracts. This cost represents the largest component of the fair premium for most types of insurance.

  1. Homogeneous buyers: When a there is existed a large number or group of insurance buyers and each buyer has the same loss distribution then the buyers are said to be homogeneous. For example, among a group of buyer each buyers has a 0.15 probability of loss taka 1000 and 0.85 probability of having no loss. Here assume that is buyers each buyers loss is independent of the loss of other buyers. As we seen that a large number of homogeneous insurances can charge a premium equal to the expected claim cost and be able to cover to its claim costs. Thus a fundamental of insurance premiums is the expected claim cost. If the insurer charged less then the expected claim cost average claim cost would exceed average revenues. On the other hand, competitor keeps the insurer from charging the more than the expected claim cost.
  2. Heterogeneous buyers: When there are existed two groups of consumers with different loss distribution then the groups are called heterogeneous buyers.

Risk classification the process by which insurers estimate the expected claim cost for different buyers and changed premiums that vary according to expected claim costs. Buyers in risk classes with higher expected claim costs are charged higher rates. Insurers have strong incentives to classify buyers based on all information that helps predict differences in claim costs across buyers provided that the information can be obtain at a sufficiently low cost.

  1. Investment income: Given the ability of insurers to earn investment income on premiums prior to the payment of claims the fair premium reflects the discounted value of expected claims costs .As a result the fair premium is inversely related to the level of interest rates and to the length of the claims.
  2. Administrative costs: The fair premium includes an expense loading to cover the insurer’s administrative costs including both underwriting expenses and loss adjustment expenses.
  3. Fair profit loading: The fair premium includes a profit loading to compensate investors for the disadvantages like double taxation of investment returns of investing in an insurance company other thing being equal. The fair profit loading is higher for lines of insurance with more uncertainty concerning future claim costs because the insurer needs to hold more capital to achieve a given probability of insolvency.

Arbitrage Techniques

Arbitrage involves simultaneously buying and selling a security at two different prices in two different markets, with the aim of making a profit without the risk of prices fluctuating.

Arbitrage strategies arise simply because of the way the markets are built. There are inefficiencies in the market owing to lack of information and costs of transaction that ensure that an asset’s fair or true price is not always reflected. Arbitrage makes use of this inefficiency and ensures that a trader gains from a pricing difference.

Depending on the markets involved, there are different arbitrage strategies. There are strategies that relate to the options market and there are specific arbitrage strategies that refer to the futures market. There are also strategies for the forex markets and even retail segments.

Arbitrage in Finance

Arbitrage is the process of simultaneously buying and selling a financial instrument on different markets, in order to make a profit from an imbalance in price.

An arbitrageur would look for differences in price of the same financial instruments in different markets, buy the instrument on the market with the lower price, and simultaneously sell it on the other market which bids a higher price for the traded instrument.

Since arbitrage is a completely risk-free investment strategy, any imbalances in price are usually short-lived as they are quickly discovered by powerful computers and trading algorithms.

Types of Arbitrage

While arbitrage usually refers to trading opportunities in financial markets, there are also other types of arbitrage opportunities covering other tradeable markets. Those include risk arbitrage, retail arbitrage, convertible arbitrage, negative arbitrage and statistical arbitrage.

Risk arbitrage: This type of arbitrage is also called merger arbitrage, as it involves the buying of stocks in the process of a merger & acquisition. Risk arbitrage is a popular strategy among hedge funds, which buy the target’s stocks and short-sell the stocks of the acquirer.

Retail arbitrage: Just like on financial markets, arbitrage can also be performed with usual retail products from your favourite supermarket. Take a look at eBay for example, and you’ll find hundreds of products bought in China and sold online at a higher price on a different market.

Convertible arbitrage: Another popular arbitrage strategy, convertible arbitrage involves buying a convertible security and short-selling its underlying stock.

Negative arbitrage: Negative arbitrage refers to the opportunity lost when the interest rate that a borrower pays on its debt (a bond issuer, for example) is higher than the interest rate at which those funds are invested.

Statistical arbitrage: Also known as stat arb, is an arbitrage technique that involves complex statistical models to find trading opportunities among financial instruments with different market prices. Those models are usually based on mean-reverting strategies and require significant computational power.

Arbitrage trading tips

  • If you are interested in exchange to exchange trading, it would involve buying in one exchange and selling in another. You can take it up if you already have stocks in your demat account. You would need to remember that the price difference of a few rupees in the two exchanges is not always an opportunity for arbitrage. You will have to look at the bid price and offer price in the exchanges, and track which one is higher. The price that people are offering shares for is called the offer price, which the bid is the price at which they are willing to buy.
  • In the share market, there are transaction costs which may often be high and neutralise any sort of gains made by an arbitrage, so it is important to keep an eye on these costs.
  • If you are looking at arbitrage where futures are involved, you would have to look at the price difference of a stock or commodity between the cash or spot market and the futures contract, as already mentioned. In the time of increased volatility in the market, prices in the spot market can widely vary from the future price, and this difference is called basis. The greater the basis, the greater the opportunity for trading.
  • Traders tend to keep an eye on cost of carry or CoC, which is the cost they incur for holding a specific position in the market till the expiration of the futures contract. In the commodities market, the CoC is the cost of holding an seet in its physical form. The CoC is negative when the futures are trading at a discount to the price of the asset underlying in the cash market. This happens when there is a reverse cash and carry arbitrage trading strategy at play.
  • You can employ buyback arbitrage when a company announces buyback of its shares, and price differences may occur between the trade price and the price of buyback.
  • When a company announces any merger, there could be an arbitrage opportunity because of the price difference in the cash and the derivatives markets.

Arbitrage Theory

Arbitrage pricing theory (APT) is a multi-factor asset pricing model based on the idea that an asset’s returns can be predicted using the linear relationship between the asset’s expected return and a number of macroeconomic variables that capture systematic risk. It is a useful tool for analyzing portfolios from a value investing perspective, in order to identify securities that may be temporarily mispriced.

In finance, arbitrage pricing theory (APT) is a general theory of asset pricing that holds that the expected return of a financial asset can be modeled as a linear function of various factors or theoretical market indices, where sensitivity to changes in each factor is represented by a factor-specific beta coefficient. The model-derived rate of return will then be used to price the asset correctly the asset price should equal the expected end of period price discounted at the rate implied by the model. If the price diverges, arbitrage should bring it back into line. The theory was proposed by the economist Stephen Ross in 1976. The linear factor model structure of the APT is used as the basis for many of the commercial risk systems employed by asset managers.

Assumptions in the Arbitrage Pricing Theory

The Arbitrage Pricing Theory operates with a pricing model that factors in many sources of risk and uncertainty. Unlike the Capital Asset Pricing Model (CAPM), which only takes into account the single factor of the risk level of the overall market, the APT model looks at several macroeconomic factors that, according to the theory, determine the risk and return of the specific asset.

These factors provide risk premiums for investors to consider because the factors carry systematic risk that cannot be eliminated by diversifying.

The APT suggests that investors will diversify their portfolios, but that they will also choose their own individual profile of risk and returns based on the premiums and sensitivity of the macroeconomic risk factors. Risk-taking investors will exploit the differences in expected and real returns on the asset by using arbitrage.

The arbitrage pricing theory was developed by the economist Stephen Ross in 1976, as an alternative to the capital asset pricing model (CAPM). Unlike the CAPM, which assume markets are perfectly efficient, APT assumes markets sometimes misprice securities, before the market eventually corrects and securities move back to fair value. Using APT, arbitrageurs hope to take advantage of any deviations from fair market value.

However, this is not a risk-free operation in the classic sense of arbitrage, because investors are assuming that the model is correct and making directional trades rather than locking in risk-free profits.

Arbitrage in the APT

The APT suggests that the returns on assets follow a linear pattern. An investor can leverage deviations in returns from the linear pattern using the arbitrage strategy. Arbitrage is the practice of the simultaneous purchase and sale of an asset on different exchanges, taking advantage of slight pricing discrepancies to lock in a risk-free profit for the trade.

However, the APT’s concept of arbitrage is different from the classic meaning of the term. In the APT, arbitrage is not a risk-free operation – but it does offer a high probability of success. What the arbitrage pricing theory offers traders is a model for determining the theoretical fair market value of an asset. Having determined that value, traders then look for slight deviations from the fair market price, and trade accordingly.

Arbitrage Pricing Theory

The Formula for the Arbitrage Pricing Theory Model Is       

E(R)I =E(R)z+(E(I)−E(R)z) ×βn     

where:

E(R)I =Expected return on the asset

Rz=Risk-free rate of return

βn=Sensitivity of the asset price to macroeconomic

factor n

Ei=Risk premium associated with factor i

ERM Matrix

The risk assessment matrix will help your organization identify and prioritize different risks, by estimating the probability of the risk occurring and how severe the impact would be if it were to happen.

A risk assessment matrix is a common tool used by organizations of all sizes for three major reasons:

  • To measure the size and scope of risk
  • To determine if they have the appropriate resources to minimize the risk
  • To triage and prioritize the list of risks in a legible, easy-to-read matrix

The risk assessment matrix can help identify risks at a widespread scope of a company at the enterprise, business process, and individual process level.

The risk assessment process in 4 steps 

The risk assessment process may seem like an intimidating process. But I’d like to offer a simplified view without a bunch of mathematical computations. 

The process:

  • Identify the risk universe
  • Determine the risk criteria
  • Assess the risks
  • Prioritize the risks

Step 1: Identifying the risk universe 

The goal with this first step is to capture the full scope of the present risk.

To start off, you’ll want to make sure you cast as wide a net as possible. The most effective way to do this is with free-flow brainstorming sessions. These brainstorming sessions will generate a list of ideas that will serve as the foundation of the risk assessment matrix. 

Now, let’s get the creative juices flowing!

From my own personal experience, I like to start with high-level risk categories that align to business functions, and then drill down to specific processes within those functions. This helps me narrow the focus down after a broad brainstorming session.

Additionally, your risk universe will contain concerns specific to your industry, along with concerns unique to your company.

Here’s one way that I would organize my risks: 

  • Strategic: Increased competition
  • Operational: Lack of available resources
  • Financial: Cost of capital
  • Market: Social media presence
  • Technology: Data security

Step 2: Determining the risk criteria

Before assessing each risk, you’ll want to develop a common set of factors to help evaluate your organization’s risk universe.

A typical risk assessment matrix uses two main criteria:

  • Likelihood (the level of possibility)
  • Consequence (the level of impact)

However, some organizations may add other factors such as vulnerability and speed of onset. This is a critical step, as these criteria will drive the discussions throughout the rest of the process.

Beware of underestimating the importance of reaching consensus on the criteria. After all, you can’t manage what you can’t measure.

Step 3: Assessing the risks

This next step is where things start to get fun. (Well, as fun as a risk assessment matrix can be.) We’re going to assess the risks based on the criteria we laid out in the previous steps. 

If the identification step was qualitative in nature, this step includes a quantitative analysis of the most important risks. 

Most organizations use a common, three-part “High, Medium, and Low” scale at this stage, but taking a more granular approach could be beneficial to your organization expanding the scale to “1–5,” for instance.

Step 4: Prioritizing the risks

In the last step, we’re going to compare the different levels of risk (from step three) to the target risk criteria (from step two). In other words, prioritizing risk accounts for the impact, possibility, and importance of the risk, and outputs a plan.

If these last two steps sound subjective that’s because they are. Expert judgment is involved in risk assessment and prioritization techniques to identify potential impacts, define inputs, and interpret the data. 

ERM Process

Step 1: Establish an Enterprise Risk Structure

ERM requires the whole organisation to identify, communicate and proactively manage risk, regardless of position or perspective. Everyone needs to follow a common approach, which includes a consistent policy and process, a single repository for their risks and a common reporting format. However, it is also important to retain existing working practices based on localised risk management perspectives as these reflect the focus of operational risk management.

The corporate risk register will look different from the operational risk register, with a more strategic emphasis on risks to business strategy, reputation and so on, rather than more tactical product, contract and project focused risks. The health and safety manager will identify different kinds of risks from the finance manager, while asset risk management and business continuity are disciplines in their own right. ERM brings together risk registers from different disciplines, allowing visibility, communication and central reporting, while maintaining distributed responsibility.

In addition to the usual vertical risk registers, such as corporate, business units, departments, programmes and projects, the enterprise also needs horizontal, or functional risk registers. These registers allow function and business managers, who are responsible for identifying risks to their own objectives, to identify risks arising from other areas of the organisation.

The enterprise risk structure should match the organisation’s structure: the hierarchy represents vertical (executive) as well as horizontal (functional and business) aspects of the organisation.

This challenges the conventional assumption that risks can be rolled up automatically, by placing horizontal structures side by side with vertical executive structures. Risks should be aggregated using a combination of vertical structure and horizontal intelligence. This is a key factor in establishing ERM.

Step 2: Assign responsibility

Once an appropriate enterprise risk structure is established, assigning responsibility and ownership should be straightforward. Selected nodes in the structure will have specified objectives; each will have an associated manager (executive, functional or business), who will be responsible for achieving those objectives and managing the associated risks. Each node containing a set of risks, along with its owner and leader, is a Risk Management Cluster. *

Vertical managers take executive responsibility not only for their cluster risk register, but also overall leadership responsibility for the Risk Management Clusters below. Responsibility takes two forms: ownership at the higher level and leadership at the lower level. For example, a programme manager will manage his programme risks, but also have responsibility for overseeing risk within each of the programme’s projects.

Budgetary authority (setting and using Management Reserve), approval of risk response actions, communication of risk appetite, management reporting and risk performance measures are defined as part of the Owner and Leader roles as illustrated in Figure 3. This structure is also used to escalate and delegate risks.

Horizontal managers take responsibility for their own functional or business Risk Management Clusters, but also for gathering risks from other areas of the Enterprise Risk Structure related to their discipline. For example, the HR functional manager will be responsible for identifying common skills shortfall risks to bring them under central management. Similarly, the business continuity manager will identify all local risks relating to use of a test facility and manage them under one site management plan.

Step 3: Create an enterprise risk map

Risk budgeting and common sense dictate that risks should reside at their local point of impact, because this is where attention is naturally focused. However, the risk cause, mitigation or exploitation strategy may come from elsewhere in the organisation and often common causes and actions can be identified. In this case, we take a systemic approach, where risks are managed more efficiently when brought together at a higher level. To achieve this, we need to be able to map risks to different parts of the risk management structure.

To create an enterprise risk map, you need:

  • A set of global categories to communicate information to the right place
  • The facility to define the relationships between risks (parent, child, sibling etc)
  • Scoring systems with consistent common impact types

Global categories

Functional and business managers should use these global categories to map risks to common themes, such as strategic or business objectives, functional areas and so on. These categories then provide ways to search and filter on these themes and to bring common risks together under a parent risk.

Step 4: Decision making through enterprise risk reporting

The most important aspect of risk management is carrying out appropriate actions to manage the risks. However, you cannot manage every identified risk, so you need to prioritise and make decisions on where to focus management attention and resources. The decision making process is underpinned by establishing risk appetite against objectives and setting a baseline, both of which should be recorded against each Risk Management Cluster®.

Enterprise-wide reporting allows senior managers to review risk exposure and trends across the organisation. This is best achieved through metrics reports, such as the risk histogram. For example, you might want to review the risk to key business objectives by cluster. Or how exposed different contracts and projects are to various suppliers.

Furthermore, there is a need to use a common set of reports across the organisation, to avoid time wasted interpreting unfamiliar formats. Such common reports ensure the risk is communicated and well understood by all elements of the organisation, and hence provide timely information on the current risk position and trends, initially top-down, then drilling down to the root cause.

Step 5: Changing culture from local to enterprise

At all levels of an organisation, changing the emphasis from ‘risk management’ to ‘managing risks’ is a challenge; however, across the enterprise it is particularly difficult. It requires people to look ahead and take action to avert (or exploit) risk to the benefit of the organisation. It also requires the organisation to encourage and reward this change in emphasis.

Unfortunately, problem management (fire-fighting) deals with today’s problems at the expense of future ones. This is generally a far more expensive process as the available remedies are limited. However, if potential problems are identified (as risks) before they arise, you have far more options available to affect a ‘Left Shift: from a costly and overly long process to one better matching the original objectives set!

Most organisations have pockets of good risk management, many have a mechanism to report ‘top N’ risks vertically, but very few have started to implement horizontal, functional or business risk management. Both a bottom up and top down approach is required. An ERM initiative should allow good local practices to continue, provided they are in line with enterprise policy and process (establishing each pocket of good risk management as a Risk Management Cluster will provide continuity).

From a top-down perspective, functional and business focused risk management needs to be kick started. A risk steering group comprising functional heads and business managers is a good place to start. The benefits of such a group getting together to understand inter-discipline risk helps break down stove-piped processes. This can trigger increasingly relaxed cross-discipline discussions and focus on aligning business and personal objectives that leads to rapid progress on understanding and managing risk.

Finally, to ensure that an organisational culture shift is affected, the senior management must be engaged. This engagement is not only aimed at encouraging them to see the benefits of managing risk, but to also help the organisation as a whole see that proactive management of risk (the Left Shift principle) is valued by all.

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