Search results

The purpose of this research is to determine whether the trading of equity index futures contracts on the South African Futures Exchange (SAFEX) results in an increase in the volatility of the underlying spot indices. Since equity index futures contracts were first listed in the USA in 1975, various studies have been undertaken to determine whether the volatility of shares in the underlying indices increases as a result of the trading of such futures contracts. These studies have lead to the development of two schools of thought: [a] Trading activity in equity index futures contracts leads to an increase in the volatility of index shares. [b] Trading activity in equity index futures contracts does not lead to an increase in the volatility of the index shares and could in fact lead to greater stability in equity markets. Although some evidence of higher volatility in expiration periods was found, volatility in the expiration periods was not consistently higher than in the corresponding pre‐expiration period.

Food waste and retail losses due to expiration dates are an important problem worldwide. Expiration date-based pricing (EDBP) is a price promotion technique consisting of charging different prices for perishable product approaching expiration date. The authors explore the influence of EDBP on impulse buying (IB) and on cognitive dissonance.

A mall intercept survey in Egypt was used to test the proposed model.

The results show that, while EDBP does not affect IB, it impacts cognitive dissonance. In addition, cognitive IB impacts cognitive dissonance, while affective IB does not.

Results suggest that there is a need to reconsider the effects of EDBP and call for alternative strategies to promote products approaching its expiration date, including strategies based on environmental protection by reducing waste arguments rather than on the sales promotional framework.

In spite of the importance of understanding consumer behaviour with perishable goods, this topic has taken little or no attention in the literature. The results provide useful insights for understanding EDBP.

An option is a contract between two parties by which party A grants party B the right to buy from or sell to A, at B's discretion, a given asset at a fixed price until a fixed date after which any rights or obligations expire. The party having the discretionary right to buy or sell is the buyer of the option (in this case, B), and the party granting the right is the seller, or writer, of the option. An option to buy is known as a call option, and an option to sell as a put option. The fixed price specified in the option contract is termed the exercise or striking price, and the fixed date the expiration date. A European option is one which can only be exercised on the date when the option expires; an American option can be exercised at any time up to and including the expiration date. Though there are many different types of underlying asset on which an option could be based, it is options written on ordinary shares quoted on the Stock Market which have been of most interest. This has been greatly enhanced in recent years by the creation of organised markets for options in the main financial centres of the world. The first part of this paper considers the practical aspects of options and the main features of an organised options exchange. The second part of the paper concentrates on introducing option pricing theory in a simplified form. Finally, some of the many and varied possible applications of options and option pricing theory are briefly reviewed.

More than 80 percent of S&P 500 firms that issue ESOs use the Black-Scholes-Merton (BSM) model and substitute the estimated average term for the contractual expiration to calculate ESO expense. This simplification systematically overprices ESOs, which worsens as the stock's volatility increases. The purpose of this paper is to present a modification of the BSM model to explicitly incorporate the rates of forfeiture pre- and post-vesting and the rate of early exercise.

The paper demonstrates the model's usefulness by employing historical exercise and forfeiture data for 127 separate ESO grants and 1.31 billion ESOs to calculate the exercise and forfeiture parameters and value ESOs for nine firms.

The modified BSM model is just as accurate but easier to use than the more computationally intensive utility maximization and trinomial lattice models, and it avoids the ASC 718 BSM model's overpricing bias.

If firms prefer the BSM model over more mathematically elegant alternatives, they should at least use a BSM model that is free of overpricing bias.

This article proposes an evaluation of capital investments that accounts for not only the initial assets, but also any potential growth options.

Using a piecewise linear approximation, a robust valuation technique is demonstrated for analyzing capital investment opportunities containing expansion options in a finite time horizon.

This process not only recognizes the option‐like characteristics of the initial investment opportunity, but also recognizes the option‐creating characteristics of the investment. This analysis shows that the value of capacity expansion options created by the initial investment has different dynamic characteristics from the assets in place. Although the growth options do not appear in the early investment premium, its impact on the investment decision is embedded in the investment threshold. When the time to expiration is short and the cost to delaying the assets in place is low, this analysis suggests that the initial investment decision might be made by ignoring the growth options.

This real option methodology provides a continuous solution to the optimal investment threshold and is a viable alternative to the traditional finite difference approach.

Short option positions carry significant risk of losses well in excess of 100 per cent of the initial option price. Margin requirements associated with such positions are therefore considerable. The purpose of this paper is to develop a methodology for calculating margin requirement‐based option portfolio returns that realistically represent the returns realized by investors, and to demonstrate the effects of this methodology on analyses of option returns.

A methodology is developed for calculating margin requirement‐based short option portfolio returns.

Accounting for margin requirements reduces the returns of simple short option strategies by up to 92 per cent compared to the price return. In long/short portfolio analyses, use of margin requirement returns necessitates additional methodological adjustments to ensure that unwanted volatility risk is properly hedged.

The result is a portfolio return that more accurately represents the return realized by investors, and increased power to detect cross‐sectional patterns in option returns.

The purpose of this paper is to examine differing attitudinal characteristics (attitude and subjective norms) and perceptions of coupon characteristics (coupon value and coupon expiration date) towards coupon redemption based on psychological and demographic segments of consumers who may well differ in their purchase motivations and accompanying decision making.

Following a detailed literature review, the characteristics are examined by means of a structured questionnaire administered via “mall intercept” to a convenience sample in major shopping areas in Malaysia.

Following a variety of statistical tests, the findings support the use of coupon proneness, value consciousness, price consciousness and brand involvement as separate variables underpinning coupon usage propensity and indicated the value of coupons if used judiciously in relation to pre-identified segments.

The limitations associated with convenience sampling apply here, that is the findings cannot be generalised.

The basis for sound parameters for the use of coupons are of value to marketing management.

The paper offers an unique insight into coupon propensity and usage from a little-known economy. Its value lies in the degrees of support offered to findings from more advanced economies and a basis for differentiation in the Malaysian context.

The executive stock option (ESO) valuation model developed in this research amends the popular exchange traded option pricing models such as Black and Scholes (1973), Whaley (1981), and Cox, Ross, and Rubinstein (1979) to include economic features of the ESO contract that previously have been ignored. One of these features is the non‐transferability of the ESO, which creates a situation where the ESO might be exercised when an otherwise identical exchange traded option would not. Another feature is the hybrid nature of the ESO; it is not solely either an American option or a European option. The results of the comparative statics indicate that the impact of the non‐transferability of the ESO value is significant, whereas the hybrid feature of the ESO results in values that are very similar to American option values. The economic implication is that if an American or European option model is used to value ESO's, the probability is very high that a wealth transfer between management and shareholders will occur.

The impact of volatility crush can be devastating to an option buyer and results in a substantial capital loss, even with a directionally correct strategy. As a result, most volatility plays are for option sellers, but the profit they can achieve is limited and the sellers carry unlimited risk. This paper aims to demonstrate the dynamics of implied volatility (IV) as being influenced by effects of persistence, leverage, market sentiment and liquidity. From the exploratory factor analysis (EFA), they extract four constructs and the results from the confirmatory factor analysis (CFA) indicated a good model fit for the constructs.

This section describes the methodology used for conducting the study. This includes the study area, study approach, sources of data, sampling technique and the method of data analysis.

Although there is extensive literature on methods for estimating IV dynamics during earnings announcement, few researchers have looked at the impact of expected market maker move, IV differential and IV Rank on the IV path after the earnings announcement. One reason for this research gap is because of the recent introduction of weekly options for equities by the Chicago Board of Options Exchange (CBOE) back in late 2010. Even then, the CBOE only released weekly options four individual equities – Bank of America (BAC.N), Apple (AAPL.O), Citigroup (C.N) and US-listed shares of BP (BP.L) (BP.N). The introduction of weekly options provided more trading flexibility and precision timing from shorter durations. This automatically expanded expiration choices, which in turned offered greater access and flexibility from the perspective of trading volatility during earnings announcement. This study has demonstrated the impact of including market sentiment and liquidity into the forecasting model for IV during earnings. This understanding in turn helps traders to formulate strategies that can circumvent the undefined risk associated with trading options strategies such as writing strangles.

The first limitation of the study is that the firms included in the study are relatively large, and the results of the study can therefore not be generalized to medium sized and small firms. The second limitation lies in the current sample size, which in many cases was not enough to be able to draw reliable conclusions on. Scaling the sample size up is only a function of time and effort. This is easily overcome and should not be a limitation in the future. The third limitation concerns the measurement of the variables. Under the assumption of a normal distribution of returns (i.e. stock prices follow a random walk process), which means that the distribution of returns is symmetrical, one can estimate the probabilities of potential gains or losses associated with each amount. This means the standard deviation of securities returns, which is called historical volatility and is usually calculated as a moving average, can be used as a risk indicator. The prices used for the calculations are usually the closing prices, but Parkinson (1980) suggests that the day’s high and low prices would provide a better estimate of real volatility. One can also refine the analysis with high-frequency data. Such data enable the avoidance of the bias stemming from the use of closing (or opening) prices, but they have only been available for a relatively short time. The length of the observation period is another topic that is still under debate. There are no criteria that enable one to conclude that volatility calculated in relation to mean returns over 20 trading days (or one month) and then annualized is any more or less representative than volatility calculated over 130 trading days (or six months) and then annualized, or even than volatility measured directly over 260 trading days (one year). Nonetheless, the guidelines adopted in this study represent the best practices of researchers thus far.

This study has indicated that an earnings announcement can provide a volatility mispricing opportunity to allow an investor to profit from a sudden, sharp drop in IV. More specifically, the methodology developed by Tan and Bing is now well supported both empirically and theoretically in terms of qualifying opportunities that can be profitable because of the volatility crush. Conventionally, the option strategy of shorting strangles carries unlimited theoretical risk; however, the methodology has demonstrated that this risk can be substantially reduced if followed judiciously. This profitable strategy relies on a set of qualifying parameters including liquidity, premium collection, volatility differential, expected market move and market sentiment. Building upon this framework, the understanding of the effects of persistence and leverage resulted in further reducing the risk associated with trading options during earnings announcements. As a guideline, the sentiment and liquidity variables help to qualify a trade and the effects of persistence and leverage help to close the qualified trade.

The authors find a positive association between the effects of market sentiment, liquidity, persistence and leverage in the dynamics of IV during earnings announcement. These findings substantiate further the four factors that influence IV dynamics during earnings announcement and conclude that just looking at persistence and leverage alone will not generate profitable trading opportunities.

The impact of volatility crush can be devastating to the option buyer with substantial capital loss, even for a directionally correct strategy. As a result, most volatility plays are for option sellers; however, the profit is limited and the sellers carry unlimited risk. The authors demonstrate the dynamics of IV as being influenced by effects of persistence, leverage, market sentiment and liquidity. From the EFA, they extracted four constructs and the results from the CFA indicated a good model fit for the constructs. Using EFA, CFA and Bayesian analysis, how this model can help investors formulate the right strategy to achieve the best risk/reward mix is demonstrated. Using Bayesian estimation and IV differential to proxy for differences of opinion about term structures in option pricing, the authors find a positive association among the effects of market sentiment, liquidity, persistence and leverage in the dynamics of IV during earnings announcement.

Volatility has become a traded commodity, and the value of extricating the implied volatility for a given underlying asset’s market value from observed option premia has long been recognized. This contribution offers a least-squared error approach based on Standardized Options that offers the potential to overcome the well-known problem of “smiles and frowns.”