SEBI Guidelines in Derivatives Market

Securities and Exchange Board of India (SEBI) is the regulatory authority for securities markets in India. As part of its mandate to ensure investor protection, transparency, and integrity in the markets, SEBI has laid down detailed guidelines for the functioning of the derivatives market. These guidelines cover various aspects such as product approval, trading, clearing and settlement, risk management, investor protection, and market surveillance. SEBI’s regulations aim to develop a robust and secure derivatives market that aligns with global standards.

Eligibility of Derivatives Products:

SEBI ensures that only suitable products are introduced into the market. The eligibility criteria include:

  • The underlying asset must be widely traded and liquid.

  • There should be sufficient historical price data available.

  • The asset must have broad-based participation and low concentration risk.

  • SEBI allows derivatives on equities, indices, currencies, commodities, interest rates, and volatility indices.

Before any new derivative product is introduced, SEBI’s approval is required, and the product must pass certain risk and liquidity parameters.

Participants Eligibility:

SEBI has categorized participants into:

  • Hedgers: those who use derivatives to manage risk.

  • Speculators: those who trade to profit from price movements.

  • Arbitrageurs: those who exploit price differentials across markets.

Eligibility criteria for trading in derivatives include:

  • Investors must meet minimum net worth requirements (for institutional investors and brokers).

  • SEBI-mandated KYC norms and PAN-based registration must be fulfilled.

  • SEBI also introduced client suitability assessments and risk disclosures to ensure that retail investors are aware of risks before entering the derivatives market.

Risk Management Framework:

Risk management is a key focus area under SEBI’s regulations. Guidelines include:

  • Margining System: SEBI mandates a stringent margining system which includes Initial Margin, Exposure Margin, Mark-to-Market Margin, and Special Margins (if necessary).

  • Daily Settlement: Positions must be marked-to-market daily to reflect actual gains/losses.

  • Position Limits:

    • Client-level, member-level, and market-wide position limits are specified to prevent excessive exposure.

    • For instance, index futures and options have limits based on a percentage of open interest.

  • Cross-Margining: Allowed for offsetting positions across various segments to reduce overall margin requirements.

Clearing and Settlement Regulations:

SEBI ensures robust clearing and settlement processes through registered clearing corporations such as NSCCL, ICCL, and Indian Clearing Corporation.

Key guidelines:

  • Novation of Trades: Clearing corporations become the counterparty to both buyer and seller, mitigating counterparty risk.

  • Timely Settlement: All obligations must be settled within specified timeframes (T+1 or T+2).

  • Collateral Management: SEBI mandates acceptable collateral forms (cash, government securities, approved shares) and haircuts based on risk evaluation.

Investor Protection Mechanisms:

SEBI has implemented several mechanisms to safeguard retail and institutional investors:

  • Mandatory Risk Disclosure Documents: Every participant must receive a document outlining the risks involved in derivatives trading.

  • Grievance Redressal Systems: SEBI operates a robust grievance redressal mechanism through SCORES (SEBI Complaints Redress System).

  • Investor Education: SEBI conducts awareness programs on derivative risks and opportunities.

  • Suitability Assessments: Brokers must evaluate an investor’s financial knowledge before permitting derivatives trading.

Transparency and Reporting:

To enhance transparency and reduce market manipulation:

  • Order-Level Surveillance: Exchanges and SEBI have real-time surveillance systems to detect abnormal patterns.

  • Trade Reporting: All trades in derivatives are recorded electronically and must be disclosed to the regulator.

  • Disclosures by Market Participants: SEBI mandates regular disclosure of derivative exposures, especially from large market players such as mutual funds and FII/FPIs.

Code of Conduct for Brokers and Exchanges:

SEBI has framed detailed codes of conduct for market intermediaries:

  • Fair Dealing: Brokers must ensure that they act in the best interests of their clients.

  • No Conflict of Interest: Market participants must disclose potential conflicts.

  • Segregation of Client Accounts: Clear distinction between proprietary and client trades is mandated.

  • Audit and Compliance: Regular internal and external audits are compulsory, and compliance reports must be submitted to SEBI.

Product Surveillance and Suitability:

  • Derivative Watchlist: SEBI monitors contracts with abnormal volatility or low liquidity and may ban them temporarily.

  • Ban Periods: Securities that breach market-wide position limits are subject to trading bans.

  • Contract Specifications: Exchanges must standardize contract size, tick size, expiry, and other elements as per SEBI’s framework.

Trading Mechanism, Timing, Types

Trading Mechanism refers to the system or method through which financial instruments like stocks, commodities, or derivatives are bought and sold in the market. It encompasses the rules, processes, and infrastructure that facilitate the execution of trade orders. There are two main types: order-driven mechanisms, where trades are matched by price-time priority in an order book; and quote-driven mechanisms, where market makers provide bid and ask quotes. Trading mechanisms ensure transparency, liquidity, and fair price discovery by matching buyers and sellers efficiently. With the advancement of technology, electronic trading platforms have become the backbone of modern trading mechanisms.

As of April 2025, the Multi Commodity Exchange (MCX) has updated its trading hours effective from March 10, 2025, aligning with changes in U.S. daylight saving time. The revised trading schedule is as follows:​

Commodity Type Trade Start Time Trade End Time
Non-Agricultural Commodities (e.g., metals, energy) 9:00 AM 11:30 PM
Select Agricultural Commodities (Cotton, Cotton Oil, Kapas) 9:00 AM 9:00 PM
All Other Agricultural Commodities 9:00 AM 5:00 PM

These adjustments ensure better alignment with international markets and enhance trading efficiency.

Types of Trading Mechanism:

  • Order-Driven Trading Mechanism

In an order-driven trading mechanism, trades are executed based on orders placed by buyers and sellers without any intermediary. Orders are matched using a price-time priority system on an electronic order book. The mechanism ensures transparency, as the order book displays available buy and sell orders. Stock exchanges like NSE and BSE use this system. It promotes efficient price discovery and market liquidity. This system is suitable for markets with high trading volumes, where numerous participants are actively involved in buying and selling. It is commonly used for equities, commodities, and derivative instruments in modern financial markets.

  • Quote-Driven Trading Mechanism

Quote-driven trading mechanism, also known as dealer-driven, involves intermediaries known as market makers or dealers who provide continuous bid and ask prices. Traders execute transactions with these dealers rather than other investors. The market maker profits from the spread between the bid and ask prices. This system is less transparent than order-driven markets but provides liquidity, especially in less actively traded securities. It is commonly used in bond markets, foreign exchange trading, and OTC derivatives. Quote-driven systems are beneficial when buyers and sellers are not simultaneously present, as dealers ensure that trading can always take place.

  • Hybrid Trading Mechanism

Hybrid trading mechanism combines features of both order-driven and quote-driven systems. Exchanges using this model offer both the visibility of an order book and the liquidity from market makers. It allows participants to choose whether to interact directly with the market or through a dealer. This mechanism is used in several global exchanges, such as the New York Stock Exchange (NYSE), to strike a balance between transparency and liquidity. Hybrid systems are especially useful in markets with varying volumes and diverse trader preferences. It provides flexibility and ensures efficient execution under varying market conditions.

Types of Margins, SPAN Margin

Initial Margin

Initial Margin is also called SPAN Margin. NSCCL (Clearing Corporation of NSE) and ICCL (Clearing Corporation of BSE) collects initial margin up-front for all the open positions of a Clearing Member (CM) based on the margins computed by SPAN Software. A CM is in turn required to collect the initial margin from the Trading Member (TMs generally known as Stock Broker) and his respective clients. Similarly, a TM should collect upfront margins from his clients.

Initial margin requirements are based on 99% value at risk over a one day time horizon. However, in the case of futures contracts (on index or individual securities), where it may not be possible to collect mark to market settlement value, before the commencement of trading on the next day, the initial margin is computed over a two-day time horizon, applying the appropriate statistical formula. The methodology for computation of Value at Risk percentage is as per the recommendations of SEBI from time to time.

Initial margin requirement for a member:

  1. For client positions: Is netted at the level of individual client and grossed across all clients, at the Trading/Clearing Member level, without any setoffs between clients.
  2. For proprietary positions: Is netted at Trading/Clearing Member level without any setoffs between client and proprietary positions.

Premium Margin

In addition to Span Margin, Premium Margin is charged to members. The premium margin is the client wise premium amount payable by the buyer of the option and is levied till the completion of pay-in towards the premium settlement.

Assignment Margin

Assignment Margin is levied on a CM in addition to SPAN margin and Premium Margin. It is levied on assigned positions of CMs towards interim and final exercise settlement obligations for option contracts on index and individual securities till the pay-in towards exercise settlement is complete.

The Assignment Margin is the net exercise settlement value payable by a Clearing Member towards interim and final exercise settlement and is deducted from the effective deposits of the Clearing Member available towards margins.

Initial Margin requirement = Total SPAN Margin Requirement + Buy Premium + Assignment Margin

Exposure Margin

The exposure margins for options and futures contracts on index are as follows:

For Index options and Index futures contracts:

3% of the notional value of a futures contract. In case of options it is charged only on short positions and is 3% of the notional value of open positions.

For option contracts and Futures Contract on individual Securities:

The higher of 5% or 1.5 standard deviation of the notional value of gross open position in futures on individual securities and gross short open positions in options on individual securities in a particular underlying. The standard deviation of daily logarithmic returns of prices in the underlying stock in the cash market in the last six months is computed on a rolling and monthly basis at the end of each month.

Additional Exposure Margin

Effective from February 2018, immediately the day after the expiry of February 2018 contracts , levying additional exposure margin based on Market Wide Position Limit has been started. The change in exposure margin shall be applicable from next trading day and shall be applicable till the open interest in the security reduces to below 70% of MWPL at end of the day.

Combined MWPL utilization at End of Day across Exchanges Applicable Exposure margin of the security
Upto 60% No additional Margins
70% to less than 75% To be increased by 50% of the normal applicable Exposure margin from next trading day
75% to less than 80% To be increased by 100% of the normal applicable Exposure margin from next trading day
80% to less than 85% To be increased by 150% of the normal applicable Exposure margin from next trading day
85% to less than 90% To be increased by 200% of the normal applicable Exposure margin from next trading day
90% to less than 95% To be increased by 300% of the normal applicable Exposure margin from next trading day

For this purpose notional value means:

  • For a futures contract: The contract value at last traded price/closing price.
  • For an options contract: The value of an equivalent number of shares as conveyed by the options contract, in the underlying market, based on the last available closing price.

In case of calendar spread positions in futures contract, exposure margins are levied on one third of the value of open position of the far month futures contract. The calendar spread position is granted calendar spread treatment till the expiry of the near month contract.

Initial Margin requirement = Total SPAN Margin Requirement + Buy Premium + Assignment Margin+ Exposure Margin + Additional Exposure Margin

Types of Orders in Derivative Market

In the Derivatives market, an order refers to an instruction given by a trader to a broker or trading platform to execute a buy or sell transaction for a futures or options contract. Orders determine the price, quantity, and timing of a trade. Common types include Market orders, Limit orders, Stop-loss orders, Cover orders, and Bracket orders. These orders help manage risk, maximize profits, and automate trading strategies. Choosing the right order type is crucial, as derivatives are highly leveraged instruments and price movements can be rapid. Proper order management ensures better control, discipline, and efficiency in trading.

Types of Orders in Derivative Market:

  • Market Order

Market order is the simplest and most commonly used order type in the derivatives market. It instructs the broker to buy or sell a contract immediately at the best available price. This type of order guarantees execution but not the exact price, which may vary in volatile markets. Traders who prioritize speed over price use market orders, especially in fast-moving markets where waiting for a specific price may lead to missed opportunities. For example, if a trader believes that a futures price will rise quickly, they may use a market order to enter the position without delay. However, in illiquid markets, large market orders may suffer from slippage, meaning the execution price might differ from the expected price. Market orders are beneficial when liquidity is high, ensuring minimal difference between bid and ask prices. Since they are executed instantly, they are often used for scalping or intraday strategies. Despite its speed, the risk with market orders lies in the lack of price control, which can be unfavorable if prices move sharply in the wrong direction. Therefore, traders must assess the market conditions and order size before placing a market order in derivative instruments.

  • Limit Order

Limit order allows a trader to specify the price at which they wish to buy or sell a derivative contract. This order will only be executed when the market reaches the specified price or better. For example, if a trader wants to buy a futures contract but only at ₹2,000, they will place a buy limit order at that level. Similarly, if they want to sell at a minimum of ₹2,500, they place a sell limit order. This order type provides more control over entry and exit points compared to market orders. However, there’s a trade-off: execution is not guaranteed if the market does not reach the set price. Limit orders are useful in volatile markets or when a trader expects a retracement to a desired level before a move continues. They help in planning trades and reducing emotional decision-making. Moreover, limit orders help avoid slippage and provide better price discipline. However, there’s always the risk of missed opportunities if prices move sharply and never return to the limit level. For effective usage, traders often monitor trends and support-resistance levels to place limit orders strategically in derivative instruments.

  • Stop Loss Order (Stop Order)

Stop loss order, also known as a stop order, is a key risk management tool in the derivatives market. It becomes a market order once a predetermined stop price is reached. For instance, if a trader holds a long futures contract at ₹2,000 and wants to limit the loss to ₹100, they can place a stop loss order at ₹1,900. Once the market hits this price, the order is triggered and the position is exited at the best available price. This prevents large losses during sharp market downturns. Stop loss orders are crucial in volatile markets, helping traders protect their capital and reduce emotional stress. They are especially important in leveraged positions common in derivatives trading. While stop loss orders don’t guarantee the exact exit price (due to slippage), they are vital for a disciplined trading approach. Advanced platforms offer trailing stop losses, where the stop price moves automatically as the market moves in the trader’s favor. However, in fast markets, a gap down can lead to execution at a worse price than expected. Therefore, it’s essential to place stop loss levels considering both market structure and volatility in derivative markets.

  • Cover Order

Cover order is a type of market order that is paired with a compulsory stop loss order. This structure helps minimize risk while allowing traders to take advantage of leverage. The moment a trader places a cover order, the platform simultaneously places a stop loss order, creating a predefined exit strategy. This feature is especially useful in intraday trading, where price swings can be unpredictable. Since the stop loss is mandatory, brokers offer higher leverage on cover orders due to the reduced risk. For example, if a trader goes long on a futures contract using a cover order, they must set a stop loss level, say ₹10 below the entry price. This ensures that losses are capped. One advantage of cover orders is the simplicity and speed they offer, along with automated risk management. However, they cannot be used for overnight positions or modified once placed in many systems. Also, since the order is executed as a market order, price slippage can occur. Cover orders are ideal for active traders who follow disciplined strategies, especially in volatile derivative markets where rapid price movement necessitates tight risk control.

  • Bracket Order

Bracket order is a three-in-one order setup consisting of a main order, a target (profit booking) order, and a stop loss order. It is widely used for intraday derivative trading and helps automate the entire trade lifecycle. Once the main order is executed (buy or sell), the system automatically places the other two orders. If the price reaches the target, the profit order is executed and the stop loss order is cancelled automatically. Similarly, if the stop loss is hit, the target order is cancelled. For instance, a trader enters a buy bracket order on an index future at ₹1,000, with a profit target at ₹1,050 and a stop loss at ₹980. The software monitors and executes accordingly. Bracket orders offer precise control over risk and reward. They eliminate emotional trading by enforcing discipline, which is critical in fast-moving derivative markets. Traders can also use trailing stop losses within bracket orders to lock in profits as prices move favorably. However, these orders are typically valid only for the trading day and are not suited for long-term positions. Bracket orders are powerful tools for traders who want to ensure a defined risk-reward ratio on each trade with minimal manual intervention.

Types of Settlement in Derivatives Market

Settlement in the Derivatives Market refers to the process through which gains or losses from derivative contracts are finalized between trading parties. It occurs at contract expiry or when the position is closed. Settlement can be Cash-based, where only the price difference is exchanged, or Physical, involving delivery of the underlying asset. The settlement ensures that obligations arising from derivative transactions are honored, promoting market efficiency, transparency, and financial integrity among participants in futures and options trading.

Types of Settlement in Derivatives Market:

1. Cash Settlement

Cash settlement involves settling a derivative contract by paying the difference between the spot price and the strike price in cash, rather than delivering the actual underlying asset. It is common in index derivatives or where physical delivery is impractical. On the contract’s expiry date, the gain or loss is calculated and transferred to the parties involved. This method reduces transaction costs, ensures liquidity, and is quicker to process. Cash settlement is popular in options and futures markets, especially for indices or commodities that are difficult to store, transport, or divide.

Advantages of Cash Settlement:

  • Reduced Transaction Costs

One of the key advantages of cash settlement is the reduction in transaction costs. Unlike physical delivery, which involves storage, transportation, and handling expenses, cash settlement requires only a financial transfer. This makes trading more cost-effective for investors, particularly for those who wish to avoid the logistical complexities involved in physically transferring the underlying asset.

  • Faster and Efficient Settlement Process

Cash settlement enables quicker closure of positions and streamlines the settlement process. Since there is no need for the physical movement of assets, traders can complete transactions almost immediately after contract expiry. This speed increases market turnover and enhances the ability of traders to manage their portfolios with greater flexibility.

  • Avoidance of Physical Delivery Issues

In many derivative contracts, especially in indices or commodities like crude oil or natural gas, physical delivery is either not feasible or highly inconvenient. Cash settlement allows for exposure to these markets without dealing with the challenges of storage, perishability, or transportation. This makes it easier for financial institutions and retail traders to participate in a wide range of asset classes.

  • Improved Market Liquidity

By facilitating easy entry and exit from the market, cash settlement contributes to greater liquidity. Traders are more willing to take positions when they know they can settle contracts without dealing with physical goods. Higher liquidity, in turn, leads to better price discovery and tighter bid-ask spreads, benefiting all participants.

  • Suitable for Non-Deliverable Assets

Cash settlement is ideal for assets that cannot be delivered physically, such as stock indices, interest rates, or weather-based contracts. These markets would be difficult or impossible to participate in without a cash settlement system, which allows exposure to price movements without actual possession of the asset.

Disadvantages of Cash Settlement:

  • Higher Speculation Risks

Cash settlement can sometimes encourage speculative trading rather than actual hedging or investment. Since no physical asset is involved, traders may take on larger or riskier positions, increasing volatility. This speculative behavior can destabilize markets and lead to sharp price swings not grounded in fundamental asset value.

  • Absence of Actual Asset Ownership

In cash-settled contracts, the buyer does not gain ownership of the underlying asset, which may be a drawback for those looking to acquire a commodity or security. This limits the usefulness of such contracts for end users like manufacturers, farmers, or investors seeking physical possession.

  • Potential for Pricing Disputes

Since cash settlements rely on the spot price at expiry, disputes can arise over the source and timing of price determination. If pricing mechanisms lack transparency, it may lead to disagreements or manipulation, undermining trust among market participants. A clear and credible pricing system is essential to avoid such issues.

  • Reduced Hedging Effectiveness

For businesses that require physical delivery of a commodity to hedge their exposure, cash-settled contracts may not provide complete risk mitigation. For instance, a company needing physical copper cannot rely entirely on a cash-settled copper futures contract to secure its supply. This makes such contracts less valuable for some hedgers.

  • Regulatory and Compliance Challenges

As cash settlement becomes widespread, regulators must ensure fair pricing, prevent manipulation, and maintain market integrity. This increases the regulatory burden and requires continuous monitoring of pricing sources and trade data. Any gaps in oversight can lead to systemic risks and reduced investor confidence.

2. Physical Settlement

Physical settlement occurs when the actual underlying asset is delivered by the seller to the buyer at contract maturity. This method is more common in commodity and stock derivatives. Upon expiry, the seller must deliver the asset, and the buyer must make full payment. Physical settlement ensures a real transfer of ownership, which adds authenticity and hedging value to the transaction. It is essential in markets where the delivery of the actual product—like wheat, gold, or shares—is practical and required. SEBI has mandated physical settlement for certain stock derivatives in India to curb excessive speculation.

Advantages of Physical Settlement:

  • Real Asset Transfer

The most significant advantage of physical settlement is that it ensures actual ownership transfer of the underlying asset. This is beneficial for parties that require the physical asset for production, consumption, or inventory purposes. For example, a wheat processor who buys futures may choose physical delivery to acquire the grain directly through the market mechanism.

  • Better Hedge Effectiveness

Physical settlement offers an effective hedging tool for participants who deal in physical commodities or securities. By settling in kind, hedgers can perfectly align their financial contracts with their business needs. This removes uncertainty around price and supply, ensuring businesses get the actual goods they need without relying on separate spot market purchases.

  • Price Transparency and Market Integrity

Physical delivery helps anchor futures prices to the real-world supply and demand of commodities. This reduces the scope for manipulation and ensures better price discovery. Since contracts culminate in the actual exchange of goods, it discourages speculative excess and aligns market behavior with the realities of the underlying market.

  • Reduces Basis Risk

Basis risk refers to the risk that the futures price and spot price may not converge perfectly at contract expiry. In physical settlement, the futures and spot prices align at expiration, eliminating basis risk for those who take or make delivery. This makes it more attractive for participants involved in physical trade or supply chain operations.

  • Encourages Responsible Trading

Traders participating in physical settlement are more cautious and deliberate in their approach. Since the potential for delivery exists, market participants avoid over-leveraging or speculative positions they cannot settle. This self-regulation promotes stability and reduces systemic risks that could arise from default or excessive speculation.

Disadvantages of Physical Settlement:

  • Logistical Complexity

Physical settlement involves transportation, warehousing, insurance, and handling of the actual asset. This process can be complex, costly, and time-consuming, especially for commodities like oil, metals, or agricultural products. These logistics can be a burden for smaller participants or those who do not have the infrastructure to handle delivery.

  • Higher Transaction Costs

Compared to cash settlement, physical settlement entails higher transaction costs. These include storage fees, delivery charges, and quality verification of the goods. For traders not interested in receiving or delivering the asset, this makes physical settlement less appealing and economically inefficient.

  • Limited Accessibility for Retail Investors

Physical settlement may not be suitable for small-scale or retail investors. These investors typically trade derivatives for financial exposure and not for taking possession of the asset. Physical settlement creates a barrier to entry, limiting their participation and reducing market liquidity in some segments.

  • Risk of Delivery Failure

There is always a risk that the counterparty may fail to deliver the asset on time or that the asset delivered may not meet contract specifications. Such defaults or quality disputes can disrupt the settlement process and create legal or financial complications for the buyer.

  • Infrastructure and Compliance Requirements

To settle physically, participants need proper storage facilities, certified warehouses, transport arrangements, and compliance with regulatory standards. This adds complexity to trading and increases the burden of documentation and audits. Regulatory oversight must also ensure that quality and quantity match the contract terms, requiring additional checks.

Basic Understanding of Option Strategies

Option strategies are the simultaneous, and often mixed, buying or selling of one or more options that differ in one or more of the options’ variables. Call options, simply known as calls, give the buyer a right to buy a particular stock at that option’s strike price. Conversely, put options, simply known as puts, give the buyer the right to sell a particular stock at the option’s strike price. This is often done to gain exposure to a specific type of opportunity or risk while eliminating other risks as part of a trading strategy. A very straightforward strategy might simply be the buying or selling of a single option; however, option strategies often refer to a combination of simultaneous buying and or selling of options.

Options strategies allow traders to profit from movements in the underlying assets based on market sentiment (i.e., bullish, bearish or neutral). In the case of neutral strategies, they can be further classified into those that are bullish on volatility, measured by the lowercase Greek letter sigma (σ), and those that are bearish on volatility. Traders can also profit off time decay, measured by the uppercase Greek letter theta (Θ), when the stock market has low volatility. The option positions used can be long and/or short positions in calls and puts.

Bullish strategies

Bullish options strategies are employed when the options trader expects the underlying stock price to move upwards. They can also use Theta (time decay) with a bullish/bearish combo called a Calendar Spread, when sideways movement is expected. The trader may also forecast how high the stock price may go and the time frame in which the rally may occur in order to select the optimum trading strategy for buying a bullish option.

The most bullish of options trading strategies, used by most options traders, is simply buying a call option.

The market is always moving. It’s up to the trader to figure out what strategy fits the markets for that time period. Moderately bullish options traders usually set a target price for the bull run and utilize bull spreads to reduce cost or eliminate risk altogether. There is limited risk trading options by using the appropriate strategy. While maximum profit is capped for some of these strategies, they usually cost less to employ for a given nominal amount of exposure. There are options that have unlimited potential to the up or down side with limited risk if done correctly. The bull call spread and the bull put spread are common examples of moderately bullish strategies.

Mildly bullish trading strategies are options that make money as long as the underlying asset price does not decrease to the strike price by the option’s expiration date. These strategies may provide downside protection as well. Writing out-of-the-money covered calls is a good example of such a strategy. The purchaser of the covered call is paying a premium for the option to purchase, at the strike price (rather than the market price), the assets you already own. This is how traders hedge a stock that they own when it has gone against them for a period of time.

Bearish strategies

Bearish options strategies are employed when the options trader expects the underlying stock price to move downwards. It is necessary to assess how low the stock price can go and the time frame in which the decline will happen in order to select the optimum trading strategy. Selling a Bearish option is also another type of strategy that gives the trader a “credit”. This does require a margin account.

The most bearish of options trading strategies is the simple put buying or selling strategy utilized by most options traders.

The market can make steep downward moves. Moderately bearish options traders usually set a target price for the expected decline and utilize bear spreads to reduce cost. This strategy has limited profit potential, but significantly reduces risk when done correctly. The bear call spread and the bear put spread are common examples of moderately bearish strategies.

Mildly bearish trading strategies are options strategies that make money as long as the underlying asset does not rise to the strike price by the options expiration date. However, you can add more options to the current position and move to a more advanced position that relies on Time Decay “Theta”. These strategies may provide a small upside protection as well. In general, bearish strategies yield profit with less risk of loss.

Neutral or non-directional strategies

Neutral strategies in options trading are employed when the options trader does not know whether the underlying asset’s price will rise or fall. Also known as non-directional strategies, they are so named because the potential to profit does not depend on whether the underlying price will increase or decrease. Rather, the correct neutral strategy to employ depends on the expected volatility of the underlying stock price.

Examples of neutral strategies are:

  • Guts: Buy (long gut) or sell (short gut) a pair of ITM (in the money) put and call (compared to a strangle where OTM puts and calls are traded);
  • Butterfly: A neutral option strategy combining bull and bear spreads. Long butterfly spreads use four option contracts with the same expiration but three different strike prices to create a range of prices the strategy can profit from.
  • Straddle: An options strategy in which the investor holds a position in both a call and put with the same strike price and expiration date, paying both premiums (long straddle)
  • Strangle: Where you buy a put below the stock and a call above the stock, with profit if the stock moves outside of either strike price (long strangle).
  • Risk reverse: Simulates the motion of an underlying so sometimes these are referred as synthetic long or synthetic short positions depending on which position you are shorting;
  • Collar: Buy the underlying and then simultaneous buying of a put option below current price (floor) and selling a call option above the current price (cap);
  • Fence: Buy the underlying then simultaneous buying of options either side of the price to limit the range of possible returns;
  • Iron butterfly: Sell two overlapping credit vertical spreads but one of the verticals is on the call side and one is on the put side;
  • Iron condor: The simultaneous buying of a put spread and a call spread with the same expiration and four different strikes. An iron condor can be thought of as selling a strangle instead of buying and also limiting your risk on both the call side and put side by building a bull put vertical spread and a bear call vertical spread;
  • Jade Lizard: A bull vertical spread created using call options, with the addition of a put option sold at a strike price lower than the strike prices of the call spread in the same expiration cycle;
  • Calendar spread: The purchase of an option in one month and the simultaneous sale of an option at the same strike price (and underlying) in an earlier month, for a debit

Bullish on volatility

Neutral trading strategies that are bullish on volatility profit when the underlying stock price experiences big moves upwards or downwards. They include the long straddle, long strangle, long condor (Iron Condor), long butterfly, and long Calendar.

Bearish on volatility

Neutral trading strategies that are bearish on volatility profit when the underlying stock price experiences little or no movement. Such strategies include the short straddle, short strangle, ratio spreads, short condor, short butterfly, and short calendar.

Option strategy profit / loss chart

A typical option strategy involves the purchase / selling of at least 2-3 different options (with different strikes and / or time to expiry), and the value of such portfolio may change in a very complex way.

One very useful way to analyze and understand the behavior of a certain option strategy is by drawing its Profit / Loss graph.

An option strategy profit / loss graph shows the dependence of the profit / loss on an option strategy at different base asset price levels and at different moments in time.

Option Strategies

  1. Orientation

Setting the context Before we start this module on Option Strategy.

  1. Bull Call Spread

Background The spread strategies are some of the simplest option strategies that a trader can implement. Spreads are multi leg strategies involving 2 or more options.

  1. Bull Put Spread

Why Bull Put Spread? Similar to the Bull Call Spread, the Bull Put Spread is a two leg option strategy invoked when the view on the market is ‘moderately bullish’.

  1. Call Ratio Back Spread

Background The Call Ratio Back Spread is an interesting options strategy. I call this interesting keeping in mind the simplicity of implementation and the kind of pay off it offers the trader.

  1. Bear Call Ladder

Background The ‘Bear’ in the “Bear Call Ladder” should not deceive you to believe that this is a bearish strategy. The Bear Call Ladder is an improvisation over the Call ratio back spr.

  1. Synthetic Long & Arbitrage

Background Imagine a situation where you would be required to simultaneously establish a long and short position on Nifty Futures, expiring in the same series.

  1. Bear Put Spread

Spreads versus naked positions Over the last five chapters we’ve discussed various multi leg bullish strategies. These strategies ranged to suit an assortment of market outlook – from.

  1. Bear Call Spread

Choosing Calls over Puts Similar to the Bear Put Spread, the Bear Call Spread is a two-leg option strategy invoked when the view on the market is ‘moderately bearish’. The Bear Call Spread.

  1. Put Ratio Back spread

Background We discussed the “Call Ratio Back spread” strategy extensively in chapter 4 of this module. The Put ratio back spread is similar except that the trader invokes this when he is b ..

  1. The Long Straddle

The directional dilemma How many times have you been in a situation wherein you take a trade after much conviction, either long or short and right after you initiate the trade the market move.

  1. The Short Straddle

Context In the previous chapter we understood that for the long straddle to be profitable, we need a set of things to work in our favor, reposting the same for your quick reference – The vo ..

  1. The Long & Short Strangle

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Binomial Option Pricing Model

In finance, the binomial options pricing model (BOPM) provides a generalizable numerical method for the valuation of options. Essentially, the model uses a “discrete-time” (lattice based) model of the varying price over time of the underlying financial instrument, addressing cases where the closed-form Black–Scholes formula is wanting.

The binomial model was first proposed by William Sharpe in the 1978 edition of Investments (ISBN 013504605X), and formalized by Cox, Ross and Rubinstein in 1979 and by Rendleman and Bartter in that same year.

For binomial trees as applied to fixed income and interest rate derivatives see Lattice model (finance) #Interest rate derivatives.

Method

The binomial pricing model traces the evolution of the option’s key underlying variables in discrete-time. This is done by means of a binomial lattice (tree), for a number of time steps between the valuation and expiration dates. Each node in the lattice represents a possible price of the underlying at a given point in time.

Valuation is performed iteratively, starting at each of the final nodes (those that may be reached at the time of expiration), and then working backwards through the tree towards the first node (valuation date). The value computed at each stage is the value of the option at that point in time.

Option valuation using this method is, as described, a three-step process:

  • Price tree generation,
  • Calculation of option value at each final node,
  • Sequential calculation of the option value at each preceding node.

The two assets, which the valuation depends upon, are the call option and the underlying stock. There is an agreement among participants that the underlying stock price can move from the current $100 to either $110 or $90 in one year and there are no other price moves possible.

In an arbitrage-free world, if you have to create a portfolio comprised of these two assets, call option and underlying stock, such that regardless of where the underlying price goes – $110 or $90 – the net return on the portfolio always remains the same. Suppose you buy “d” shares of underlying and short one call options to create this portfolio.

If the price goes to $110, your shares will be worth $110*d, and you’ll lose $10 on the short call payoff. The net value of your portfolio will be (110d – 10).

If the price goes down to $90, your shares will be worth $90*d, and the option will expire worthlessly. The net value of your portfolio will be (90d).

If you want your portfolio’s value to remain the same regardless of where the underlying stock price goes, then your portfolio value should remain the same in either case:

h(d)−m=l(d)

where:

h = Highest potential underlying price

d = Number of underlying shares

m = Money lost on short call payoff

l = Lowest potential underlying price

Use of the model

The Binomial options pricing model approach has been widely used since it is able to handle a variety of conditions for which other models cannot easily be applied. This is largely because the BOPM is based on the description of an underlying instrument over a period of time rather than a single point. As a consequence, it is used to value American options that are exercisable at any time in a given interval as well as Bermudan options that are exercisable at specific instances of time. Being relatively simple, the model is readily implementable in computer software (including a spreadsheet).

Although computationally slower than the Black–Scholes formula, it is more accurate, particularly for longer-dated options on securities with dividend payments. For these reasons, various versions of the binomial model are widely used by practitioners in the options markets.

For options with several sources of uncertainty (e.g., real options) and for options with complicated features (e.g., Asian options), binomial methods are less practical due to several difficulties, and Monte Carlo option models are commonly used instead. When simulating a small number of time steps Monte Carlo simulation will be more computationally time-consuming than BOPM (cf. Monte Carlo methods in finance). However, the worst-case runtime of BOPM will be O(2n), where n is the number of time steps in the simulation. Monte Carlo simulations will generally have a polynomial time complexity, and will be faster for large numbers of simulation steps. Monte Carlo simulations are also less susceptible to sampling errors, since binomial techniques use discrete time units. This becomes more true the smaller the discrete units become.

Black – Scholes Option Pricing Model

The Black Scholes model, also known as the Black-Scholes-Merton (BSM) model, is a mathematical model for pricing an options contract. In particular, the model estimates the variation over time of financial instruments. It assumes these instruments (such as stocks or futures) will have a lognormal distribution of prices. Using this assumption and factoring in other important variables, the equation derives the price of a call option.

Basics of the Black Scholes Model

The model assumes the price of heavily traded assets follows a geometric Brownian motion with constant drift and volatility. When applied to a stock option, the model incorporates the constant price variation of the stock, the time value of money, the option’s strike price, and the time to the option’s expiry.

Also called Black-Scholes-Merton, it was the first widely used model for option pricing. It’s used to calculate the theoretical value of options using current stock prices, expected dividends, the option’s strike price, expected interest rates, time to expiration and expected volatility.

The formula, developed by three economists Fischer Black, Myron Scholes and Robert Merton is perhaps the world’s most well-known options pricing model. The initial equation was introduced in Black and Scholes’ 1973 paper, “The Pricing of Options and Corporate Liabilities,” published in the Journal of Political Economy. Black passed away two years before Scholes and Merton were awarded the 1997 Nobel Prize in economics for their work in finding a new method to determine the value of derivatives (the Nobel Prize is not given posthumously; however, the Nobel committee acknowledged Black’s role in the Black-Scholes model).

The Black-Scholes model makes certain assumptions:

  • The option is European and can only be exercised at expiration.
  • No dividends are paid out during the life of the option.
  • Markets are efficient (i.e., market movements cannot be predicted).
  • There are no transaction costs in buying the option.
  • The risk-free rate and volatility of the underlying are known and constant.
  • The returns on the underlying asset are normally distributed.

While the original Black-Scholes model didn’t consider the effects of dividends paid during the life of the option, the model is frequently adapted to account for dividends by determining the ex-dividend date value of the underlying stock.

The Black Scholes Formula

The mathematics involved in the formula are complicated and can be intimidating. Fortunately, you don’t need to know or even understand the math to use Black-Scholes modeling in your own strategies. Options traders have access to a variety of online options calculators, and many of today’s trading platforms boast robust options analysis tools, including indicators and spreadsheets that perform the calculations and output the options pricing values.

The Black Scholes call option formula is calculated by multiplying the stock price by the cumulative standard normal probability distribution function. Thereafter, the net present value (NPV) of the strike price multiplied by the cumulative standard normal distribution is subtracted from the resulting value of the previous calculation.

where:

C=Call option price

S=Current stock (or other underlying) price

K=Strike price

r=Risk-free interest rate

t=Time to maturity

N=A normal distribution​

Call Option, Put Option

Call Option

Call options are financial contracts that give the option buyer the right, but not the obligation, to buy a stock, bond, commodity or other asset or instrument at a specified price within a specific time period. The stock, bond, or commodity is called the underlying asset. A call buyer profits when the underlying asset increases in price.

A call option may be contrasted with a put, which gives the holder the right to sell the underlying asset at a specified price on or before expiration.

For options on stocks, call options give the holder the right to buy 100 shares of a company at a specific price, known as the strike price, up until a specified date, known as the expiration date.

For example, a single call option contract may give a holder the right to buy 100 shares of Apple stock at $100 up until the expiry date in three months. There are many expiration dates and strike prices for traders to choose from. As the value of Apple stock goes up, the price of the option contract goes up, and vice versa. The call option buyer may hold the contract until the expiration date, at which point they can take delivery of the 100 shares of stock or sell the options contract at any point before the expiration date at the market price of the contract at that time.

The market price of the call option is called the premium. It is the price paid for the rights that the call option provides. If at expiry the underlying asset is below the strike price, the call buyer loses the premium paid. This is the maximum loss.

If the underlying’s price is above the strike price at expiry, the profit is the current stock price, minus the strike price and the premium. This is then multiplied by how many shares the option buyer controls.

  • A call is an option contract giving the owner the right, but not the obligation, to buy a specified amount of an underlying security at a specified price within a specified time.
  • The specified price is known as the strike price and the specified time during which a sale is made is its expiration or time to maturity.
  • Call options may be purchased for speculation, or sold for income purposes. They may also be combined for use in spread or combination strategies.

Put Option

A put option is a contract giving the owner the right, but not the obligation, to sell–or sell short–a specified amount of an underlying security at a pre-determined price within a specified time frame. This pre-determined price that buyer of the put option can sell at is called the strike price.

Put options are traded on various underlying assets, including stocks, currencies, bonds, commodities, futures, and indexes. A put option can be contrasted with a call option, which gives the holder the right to buy the underlying at a specified price, either on or before the expiration date of the options contract.

A put option becomes more valuable as the price of the underlying stock decreases. Conversely, a put option loses its value as the underlying stock increases. When they are exercised, put options provide a short position in the underlying asset. Because of this, they are typically used for hedging purposes or to speculate on downside price action.

Investors often use put options in a risk-management strategy known as a protective put. This strategy is used as a form of investment insurance; this strategy is used to ensure that losses in the underlying asset do not exceed a certain amount (the strike price.)

In general, the value of a put option decreases as its time to expiration approaches because of the impact of time decay. Time decay accelerates as an option’s time to expiration draws closer since there’s less time to realize a profit from the trade. When an option loses its time value, the intrinsic value is left over. An option’s intrinsic value is equivalent to the difference between the strike price and the underlying stock price. If an option has intrinsic value, it is referred to as in the money (ITM).

Out of the money (OTM) and at the money (ATM) put options have no intrinsic value because there is no benefit in exercising the option. Investors have the option of short selling the stock at the current higher market price, rather than exercising an out of the money put option at an undesirable strike price. However, outside of a bear market, short selling is typically riskier than buying options.

Time value, or extrinsic value, is reflected in the premium of the option. If the strike price of a put option is $20, and the underlying is stock is currently trading at $19, there is $1 of intrinsic value in the option. But the put option may trade for $1.35. The extra $0.35 is time value, since the underlying stock price could change before the option expires. Different put options on the same underlying asset may be combined to form put spreads.

There are several factors to keep in mind when it comes to selling put options. It’s important to understand an option contract’s value and profitability when considering a trade, or else you risk the stock falling past the point of profitability.

  • Put options give holders of the option the right, but not the obligation, to sell a specified amount of an underlying security at a specified price within a specified time frame.
  • Put options are available on a wide range of assets, including stocks, indexes, commodities, and currencies.
  • Put option prices are impacted by changes in the price of the underlying asset, the option strike price, time decay, interest rates, and volatility.
  • Put options increase in value as the underlying asset falls in price, as volatility of the underlying asset price increases, and as interest rates decline.
  • They lose value as the underlying asset increases in price, as volatility of the underlying asset price decreases, as interest rates rise, and as the time to expiration nears.

Difference between Futures & Options

Futures and options are tools used by investors when trading in the stock market. As financial contracts between the buyer and the seller of an asset, they offer the potential to earn huge profits. However, there are some key differences between futures and options. Click here if you want to know how to buy and sell Futures Contracts.

Obligation:

A futures contract is an agreement between two parties to buy or sell an asset at a certain time in the future at a certain price. Here, the buyer is obliged to buy the asset on the specified future date.

An options contract gives the buyer the right to buy the asset at a fixed price. However, there is no obligation on the part of the buyer to go through with the purchase. Nevertheless, should the buyer choose to buy the asset, the seller is obliged to sell it.

Risk:

The futures contract holder is bound to buy on the future date even if the security moves against them. Suppose the market value of the asset falls below the price specified in the contract. The buyer will still have to buy it at the price agreed upon earlier and incur losses.

The buyer in an options contract has an advantage here. If the asset value falls below the agreed-upon price, the buyer can opt out of buying it. This limits the loss incurred by the buyer.

In other words, a futures contract could bring unlimited profit or loss. Meanwhile, an options contract can bring unlimited profit, but it reduces the potential loss.

Advance payment:

There is no upfront cost when entering into a futures contract. But the buyer is bound to pay the agreed-upon price for the asset eventually.

The buyer in an options contract has to pay a premium. The payment of this premium grants the options buyer the privilege to not buy the asset on a future date if it becomes less attractive. Should the options contract holder choose not to buy the asset, the premium paid is the amount he stands to lose.

Contract execution:

A futures contract is executed on the date agreed upon in the contract. On this date, the buyer purchases the underlying asset.

Meanwhile, the buyer in an options contract can execute the contract anytime before the date of expiry. So, you are free to buy the asset whenever you feel the conditions are right.

  1. Contract details:

At the time of drawing up a futures or options contract, four key details will be mentioned:

  • The asset that is up for trade
  • The quantity of the asset that is available for buying or selling
  • The price at which it will be traded
  • The date on which (futures contract) or by which (options contract) it must be traded

The futures contract will also mention the method of settlement.

  1. Trade venue:

The trade in futures takes place on the stock exchange. The options trade takes place both on and off the exchanges.

  1. Types of assets covered:

Futures and options contracts can cover stocks, bonds, commodities, and even currencies.

  1. Requirements:

You would need a margin account to trade in futures and options.

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