Summary of call option
Option valuation technique Black Scholes Merton is one of the most essential ideas in the financial sector. The Black-Scholes Merton model is a differential equation that is often used to price option contracts. While the Black-Scholes Merton model is typically right, it has extra redundancy that might lead to pricing that differs from actual outcomes (Anwar and Andallah 2018).
The Black Scholes model is used to determine the likelihood of an option contract expiring in the money and to value the option based on specific assumptions. The concept is based on the notion that the price of a call option is determined by the underlying stock prices, with the value increasing as the stock price rises and decreasing as the stock price falls (Kreps 2019). The model is focused towards assigning a value to the call option keeping in mind certain assumptions like volatility of the stock, the time left for the option until expiration and the interest rates (Dar and Anuradha 2018).
The following are the assumptions of the Black Scholes Merton model:
The model also predicts that the price of assets follows a specific kind of motion known as the geometric Brownian motion having a constant drift and exhibiting constant volatility (Weatherall 2018).
According to the Black Scholes Merton model the following are the inputs required to value an option:
Price of a Share (S), Price of a Strike (K), Expiration Date (t), Rate of Interest (r) and Volatility (sigma).
The price of a call option is derived using the Black-Scholes model as follows:
S * N(d1 ) – Ke(–rt) * N(d2 ) C = S * N(d1 ) – Ke(–rt) * N(d2 )
where:
d1 = [ln (S/K) + (r + 2/2) * t]
d2 = d1 -(sigma* t^0.5) – d1
Once the values for d1 and d2 have been determined, we use the formula =NORMSDIST (d1 or d2) in Excel:
N (d1), N (d2)
This is how the value of a Call Option is calculated using the Black Scholes and Merton Model.
The drawbacks of the model regarding the assumptions of the model are discussed below:
Apple Inc is an US based technology company and has operations all around the globe. The company is involved in the business of consumer electronics, online services and software services. Apple Inc has earned the title of the biggest information technology company in the world in terms of revenue and is the fourth largest manufacturer of personal computer. The company is also the second largest mobile phone manufacturing company in the world and is considered as the world’s most valuable company. The company finds itself amongst the five biggest tech companies in the United States and is listed in the NASDAQ stock exchange (Britannica 2022).
We have chosen to value the call option of Apple Inc which has an expiry date of 25th May and an exercise price of $170. The current price of the stock is around $160 and the date of valuation is 11th March 2022. To carve out the price of the call option according to the Black Scholes Merton model, Microsoft excel was employed. The following are the inputs and assumptions used in the process of valuation:
To calculate the volatility of the stock of Apple, daily stock price date of the company’s stock for the previous five years was ascertained. The daily price return percentage of the company was determined using excel functions. The STDEV.S function of excel was used to find out the daily standard deviation of the company in the past five years which was later converted into annual standard deviation using the formula [(1+r) √ 252] with the number 252 representing the total number of trading days in a year. The resulting annual standard deviation which was equal to 27.0041 percent was used as the proxy for implied volatility of the stock used in the valuation of the call option.
The yield on the 3-month treasury yield which was equal to 0.44% percent was used as a proxy for risk free rate of return for the purpose of carrying out the valuation. Nd1 and Nd2 were determined using the NORMDIST function of the excel as explained in the steps above. The value of the option was calculated as $3.82.
The following section explains how the inputs used in the valuation of the call options satisfies the assumptions made by the model:
Risk-free rate – The risk-free rate utilized as the discounting factor in the computations is assumed to be known and constant by the model. We utilized the yield on 3-month treasury government issued bonds to value the option, which meets the premise of the risk-free rate being known and constant.
Implied volatility – Implied volatility is a probability measure of a security’s expected or predicted price volatility. In case of a bearish markets, investors expect the markets to fall and hence the implied volatility is generally on the higher side. In case of a bullish market, the investors have a positive view regarding the market with an expectation of rising prices of assets and as a result the implied volatility is expected to be on the lower side. Hence, a falling or bearish market is considered to be riskier than a rising or bullish market because of the expectations of the market Participants (Mijatovi?, and Tankov 2016).
Implied volatility is considered to be one of the primary necessities in valuing an option as the premium of the options is a function of the implied volatility embedded in the underlying security. The price of an option would be higher if the implied volatility is higher and lower if the implied volatility is lower. Implied volatility can only be used to estimate or forecast future prices because of the probabilistic nature of it. Investors evaluate implied volatility while making investment decisions. Regular investors are well aware that the price of an option does not always follow a predictable pattern.
To calculate the implied volatility, we have used the past six-month daily returns of the stock of Apple Inc and used the annual standard deviation of the returns as the proxy for implied volatility. This is consistent with the assumption of the model for the implied volatility of the underlying stock being known and constant.
Dividend- The assumption regarding no dividend payment from the company is fulfilled as the company has not paid any dividend during the period of analysis.
No transaction costs – During the calculations of the theoretical price of the call option, no transaction costs were assumed satisfying the assumption made by the model of no transaction costs being involved in the process of buying and selling an option contract.
The theoretical value of the call option which was determined using the inputs discussed in the above section of the report in the Black Scholes and Merton model, came out to be $3.82 whereas the market observed price of the call option was equal to $11.50 as of 11th March 2022. The implied volatility that resulted in the theoretical value of the call option was around 27.0041 percent using historical data and the risk-free rate was assumed to be 0.44 percent.
Based upon the market price of the call option price which is equal to $11.50, the implied volatility was back calculated using the excel solver function. The implied volatility that resulted in a price of call option which is equal to the market price, was equal to 55.49 percent. The difference in the value of call option can be attributed to the differences in the implied volatility as the market assumes that the stock of the company is more volatile than the historical volatility of the stock in the past six months. The Participants of the market believe the market to be more volatile than it should be based upon the BSM model.
The choice of the risk-free rate of return based on government bond yield or the choice of the period of stock returns can also be a reason behind the distinct values of call price observed.
Financial derivatives are securities or contracts whose value is derived from an underlying asset, a collection of assets, or a benchmark. These contracts are drawn up between two or more Parties and can be exchanged over the counter or on exchanges. These contracts are used to speculate on the market or to hedge an individual’s or an organization’s current financial position (Gupta 2017). Options, Swaps, Futures, and Forwards are some of the numerous forms of derivatives accessible on the market (LiPuma 2017). The merits and downsides of different financial derivatives such as Options, Swaps, Futures, and Forwards are examined in this portion of the paper.
Option contracts are financial contracts whose value is determined by the price of an underlying security. A buyer of an options contract has the right to purchase or sell the underlying asset at a pre-determined price, depending on the kind of contract. The contract’s features are defined by the exchange on which it is traded (Tompkins 2016). Market Participants employ options contracts for hedging or speculative purposes. Options contract have several benefits associated with it which are discussed below:
The following are the drawbacks associated with options contract:
Swaps are financial derivatives contracts that are agreed upon by two Parties and swapped after a defined period of time. Two of the Parties agree to swap the instrument at a specific time. Many investors regard these sorts of contracts to be a hedging mechanism because they are traded over the counter (Mixon, Onur and Riggs 2018). Since the financial crisis of 2008-09, currency swaps were entered between central bank with the USD beginning to get decentralized and other countries’ gaining increased prominence (Mingpi 2016). Two common types of swaps are discussed below:
The following are the benefits associated with swaps:
The following section highlights the drawbacks of swaps:
A future contract is an agreement between two Parties for the purchase or sale of a commodity, currencies or stocks at a certain date in the future. The price at which the transaction will be completed is pre-determined and agreed upon by both Parties. When an investor or trader buys a futures contract, they are obligated to buy the commodity at the pre-agreed price when the contract expires, and the same is true for the seller of the futures contract (Bekkermen and Tejeda 2017). There are multiple benefits involved with futures contracts, some of them are discussed below:
The following section highlights the drawbacks of the futures contracts –
A forward contract can be defined as a financial agreement entered into by two counterParties to buy or sell an asset at some point in future at a price determined today. A forward contract is used for purposes like hedging and speculating. A forward contract is quite similar to the futures contracts with the only difference being that the futures contract is standardized and exchange traded whereas a forward contract is non-standardized which makes it apt for hedging purposes only (Islam and Chakraborti 2015). Forward contracts have advantage over futures contract in the fact that it can be customized based on the requirements of the associated Parties. Forward contracts are not traded on centralized exchanges like the futures contract and over the counter instruments. The following are the benefits of a forward contract:
The following sections defines the drawbacks associated with the forward contracts:
Conclusion
After considering all of the advantages of derivatives contracts stated above, it can be concluded that the advantages of derivatives contracts exceed the disadvantages of derivatives contracts. Typically, investors employ derivatives for three reasons to hedge a position, raise leverage, or speculate on the movement of an asset. Hedging a position is frequently done to safeguard or insure against an asset’s risk. All of the aforementioned derivatives contracts are primarily utilized by businesses, individual investors and managers to hedge their investment positions against various market risks. Swaps are used in managing interest rate risks and are increasingly used by corporates all around the world. Interest rate swaps are used by various fund managers to hedge against the interest rate risk. Because derivatives contracts, as noted above, are necessary for market efficiency, they have grown in importance in financial markets. It enables firms to gain access to financial markets that they would otherwise be unable to access. Derivatives contracts lower transaction costs, which would otherwise be higher if traded directly. Swaps
References
Anwar, M.N. and Andallah, L.S., 2018. A study on numerical solution of Black-Scholes model. Journal of Mathematical Finance, 8(2), pp.372-381.
Apple Inc. | History, Products, Headquarters, & Facts (2022). Available at: https://www.britannica.com/topic/Apple-Inc (Accessed: 11 March 2022).
Bekkerman, A. and Tejeda, H.A., 2017. Revisiting the determinants of futures contracts success: the role of market Participants. Agricultural economics, 48(2), pp.175-185.
Dar, A.A. and Anuradha, N., 2018. Comparison: binomial model and Black Scholes model. Quantitative finance and Economics, 2(1), pp.230-245.
Gupta, S.L., 2017. Financial Derivatives: Theory, concepts and problems. PHI Learning Pvt. Ltd..
Islam, M. and Chakraborti, J., 2015. Futures and forward contract as a route of hedging the risk. Risk Gov. Control. Financ. Mark. Inst, 5, pp.68-78.
Janková, Z., 2018. Drawbacks and limitations of Black-Scholes model for options pricing. Journal of Financial Studies and Research, 2018, pp.1-7.
Kreps, D.M., 2019. The Black-Scholes-Merton model as an idealization of discrete-time economies (No. 63). Cambridge University Press.
LiPuma, E., 2017. The Social Life of Financial Derivatives. Duke University Press.
Mijatovi?, A. and Tankov, P., 2016. A new look at short?term implied volatility in asset price models with jumps. Mathematical Finance, 26(1), pp.149-183.
Mingqi, X., 2016. Central Bank Currency Swaps and Their Implications to the International Financial Reform. China Quarterly of International Strategic Studies, 2(01), pp.135-152.
Mixon, S., Onur, E. and Riggs, L., 2018. Integrating swaps and futures: A new direction for commodity research. Journal of Commodity Markets, 10, pp.3-21.
Tompkins, R., 2016. Options explained2. Springer.
Valverde, R., 2015. An insurance model for the protection of corporations against the bankruptcy of suppliers by using the Black-Scholes-Merton model. IFAC-PapersOnLine, 48(3), pp.513-520.
Weatherall, J.O., 2018. The Peculiar Logic of the Black-Scholes Model. Philosophy of Science, 85(5), pp.1152-1163.
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