Costs of broad-based stock option plans

We generate estimates of the costs of broad-based stock option programs under varying assumptions about why firms use these pay schemes. We show that, if accounting considerations alone drive option grants, a typical firm in our sample incurs between 50 cents and one dollar of real costs in order to increase reported pre-tax net income by one dollar. This cost is reduced, but is still quite substantial, if accounting leads firms to grant options rather than restricted stock. We also show that, if option grants are efficient, the patterns in our data are consistent with firms using these grants to attract and retain employees.     

Executive stock option vesting conditions,corporate governance and CEO attributes: evidence from Australia

We investigate the association between executive stock option (ESO) vesting conditions, corporate governance and CEO attributes. Using observations from the 250 largest Australian firms, we find that stronger corporate governance is positively associated with the length of the vesting period and the use of performance hurdles. We also find that when CEOs approach retirement, firms are more likely to grant longer time‐vesting options but are less likely to impose performance hurdles. Further, more powerful CEOs appear to influence the granting of ESOs with less restrictive vesting conditions. Our findings suggest that both corporate governance and CEO attributes significantly shape the design of ESOs.     

The relationship between implied and realized volatility: evidence from the Australian stock index option market

This paper examines the relationship between the volatility implied in option prices and the subsequently realized volatility by using the S&P/ASX 200 index options (XJO) traded on the Australian Stock Exchange (ASX) during a period of 5 years. Unlike stock index options such as the S&P 100 index options in the US market, the S&P/ASX 200 index options are traded infrequently and in low volumes, and have a long maturity cycle. Thus an errors-in-variables problem for measurement of implied volatility is more likely to exist. After accounting for this problem by instrumental variable method, it is found that both call and put implied volatilities are superior to historical volatility in forecasting future realized volatility. Moreover, implied call volatility is nearly an unbiased forecast of future volatility.

Option prices and stock market momentum: evidence from China

Option prices tend to be correlated to past stock market returns due to market imperfections. We unprecedentedly examine this issue on the SSE 50 ETF option in the Chinese derivatives market. To measure the price pressure in the options market, we construct an implied volatility spread based on pairs of the SSE 50 ETF option with identical expiration dates and strike prices. By regressing the implied volatility spread on past stock returns, we find that past stock returns exert a strong influence on the pricing of index options. Specifically, we find that SSE 50 ETF calls are significantly overvalued relative to SSE 50 ETF puts after stock price increases and the reverse is also true after the stock price decreases. Moreover, we validate the momentum effects in the underlying stock market to be responsible for the price pressure. These findings are both economically and statistically significant and have important implications.     

The empirical relationship between risk and return: evidence from the UK stock market

Previous studies reach no consensus on the relationship between risk and return using data from one market. We argue that the world market factor should not be ignored in assessing the risk-return relationship in a partially integrated market. Applying a bivariate generalized autoregressive conditional heteroscedasticity in mean (GARCH-M) model to the weekly stock index returns from the UK and the world market, we document a significant positive relationship between stock returns and the variance of returns in the UK stock market after controlling for the covariance of the UK and the world market return. In contrast, conventional univariate GARCH-M models typically fail to detect this relationship. Nonnested hypothesis tests supplemented with other commonly used model selection criteria unambiguously demonstrate that our bivariate GARCH-M model is more likely to be the true model for UK stock market returns than univariate GARCH-M models. Our results have implications for empirical assessments of the risk-return relationship, expected return estimation, and international diversification.     

Macroeconomic determinants of stock market capitalization in an emerging market: fresh evidence from cointegration with unknown structural breaks

This article explores the macroeconomic determinants of stock market development in an emerging market (Pakistan) over the period of 1974–2010. We have applied Zivot–Andrews unit root test for integrating properties of the variables and the autoregressive distributed lag bounds testing for cointegration. The direction of causality between the variables is investigated by applying the vector error-correction model Granger causality approach. Our results revealed that variables are cointegrated for long run relationship. Economic growth, inflation, financial development and investment increase stock market development, but trade openness decreases it. The causality analysis confirms that stock market development is a Granger cause of economic growth, inflation, financial development, investment and trade openness. This article indicates the importance of trade openness while formulating a comprehensive financial policy.     

Pricing of time-varying liquidity risk in Finnish stock market: new evidence

Using two recently developed illiquidity measures, we estimate a conditional version of liquidity-adjusted capital asset pricing model (LCAPM), which allows for a time-varying decomposition of the total illiquidity premium into a level component and three risk components. The total estimated annualized illiquidity premium for the Finnish equities during 1997–2015 is 1.13–1.90% depending on the illiquidity measure. Of the three systematic liquidity risk components, risk arising from hedging of wealth shocks is the most important followed by commonality in liquidity risk, whereas flight to liquidity risk is not significantly priced in the Finnish stock market. Our results show that the liquidity risk is time varying, therefore the models estimating the risk-return relationship should address the issue of conditionality.     

Momentum in stock returns: evidence from an emerging stock market

This study examines the presence and sources of momentum profits in the Dhaka stock exchange (DSE). Although the short-term reversal and intermediate-term momentum are found to be evident, short-term reversal is not as consistent and significant as intermediate-term momentum. Further examination shows that momentum profits in the DSE cannot be explained by the rational source like market factor but can be explained by the size factor. We argue that presence of large number of small stocks and lack of arbitrage opportunity could be the possible causes of momentum effect in the DSE.     

The market premium for the option to close: evidence from Australian gold mining firms

This study shows the market value of gold mining firms contains a premium for the option to close. The sample uses 41 gold mining producers listed on the Australian Stock Exchange from 1987 to 2013. The premium of the market price over the present value of cash flows is isolated and a pooled cross‐sectional regression tests the degree of association between that premium and theoretical option premiums. The results show market prices incorporate a premium reflecting the option to temporarily close operations. The magnitude of the option premium to close depends on whether firms are out or in the money options.     

Managerial characteristics and stock market investment: evidence from China

We examine the effect of managerial characteristics on investment in the stock market by listed firms in China. Our empirical findings suggest that higher levels of cash‐based compensation may increase both the propensity of investing in the stock market and the total amount of investment. On the other hand, managerial holdings discourage managers from investing in stock markets and also lead to a decrease in the amount of investment. This study sheds light on managerial risk‐taking incentives. Moreover, this study fills the gap in the literature by providing evidence for the determinants of listed firms’ stock market investment.     

Impact of liquidity on stock returns: an empirical investigation of the Tunisian stock market

This paper investigates the return–liquidity relationship on one Middle East and North Africa frontier market, the Tunisian Stock Exchange (TSE). The findings provide evidence that there is a significant and positive premium for companies with high price impact and low trading frequency. However, Tunisian investors appreciate more low spread stocks. We show, also, a non-linear relation between potential delays of execution and stock returns. In addition, we find that Tunisian investors require a premium to compensate past cumulative illiquidity risk (high price impact, low turnover and high potential delay of execution) over the prior three to 12 months and to compensate past cumulative spread over 12 months. We point out also that these effects are seasonal.     

Primacy in stock market participation: the effect of initial returns on market re-entry decisions

We examine whether initial returns influence investors’ decisions to return to the stock market following withdrawal. Using a survival analysis technique to estimate Finnish retail investors’ likelihood of stock market re-entry reveals that investors who experience lower initial returns are less likely to return, even after controlling for returns in the last month and average monthly returns for the duration of investing. This primacy effect is robust to accounting for endogeneity in investors’ exit decisions, and other behavioural biases such as recency and saliency of investment experience. Individual investors appear to be subject to primacy bias and tend to put a significant weight on initial experiences in re-entry decisions.     

The option to quit: The effect of employee stock options on turnover

We show that in the years following a large broad-based employee stock option (BBSO) grant, employee turnover falls at the granting firm. We find evidence consistent with a causal relation by exploiting unexpected changes in the value of unvested options. A large fraction of the reduction in turnover appears to be temporary with turnover increasing in the third year following the year of the adoption of the BBSO plan. The increase three years post-grant is equal in magnitude to the cumulative decrease in turnover over the three prior years, suggesting that long-vesting BBSO plans delay, instead of prevent, turnover.     

Employee sentiment and stock option compensation

The use of equity-based compensation for rank-and-file employees is a puzzle. We analyze whether the popularity of option compensation may be driven by employee optimism, and show that optimism by itself is insufficient to make option compensation optimal. The crucial insight is that firms compete with financial markets as suppliers of equity to employees and that employees’ access to the equity market restricts firms’ ability to profit from employee optimism. Firms must be able to extract some of the implied rents even though employees can purchase company equity in the financial markets. Such rent extraction becomes feasible if employees prefer the stock options offered by firms to the equity offered by the market, or if the traded equity is overvalued. We provide empirical evidence that firms use broad-based option compensation when boundedly rational employees are likely to be excessively optimistic about company stock, and when employees are likely to strictly prefer options over stock.     

Forecasting stock market volatility: Further international evidence

Abstract

This paper evaluates the out-of-sample forecasting accuracy of eleven models for monthly volatility in fifteen stock markets. Volatility is defined as within-month standard deviation of continuously compounded daily returns on the stock market index of each country for the ten-year period 1988 to 1997. The first half of the sample is retained for the estimation of parameters while the second half is for the forecast period. The following models are employed: a random walk model, a historical mean model, moving average models, weighted moving average models, exponentially weighted moving average models, an exponential smoothing model, a regression model, an ARCH model, a GARCH model, a GJR-GARCH model, and an EGARCH model. First, standard (symmetric) loss functions are used to evaluate the performance of the competing models: mean absolute error, root mean squared error, and mean absolute percentage error. According to all of these standard loss functions, the exponential smoothing model provides superior forecasts of volatility. On the other hand, ARCH-based models generally prove to be the worst forecasting models. Asymmetric loss functions are employed to penalize under-/over-prediction. When under-predictions are penalized more heavily, ARCH-type models provide the best forecasts while the random walk is worst. However, when over-predictions of volatility are penalized more heavily, the exponential smoothing model performs best while the ARCH-type models are now universally found to be inferior forecasters.     

Trading volume and stock market volatility: The Polish case

Relying on the mixture of distributions hypothesis (MDH), this paper investigates the relationship between daily returns and trading volume for 20 Polish stocks. Our empirical results show that in the majority of cases volatility persistence tends to disappear when trading volume is included in the conditional variance equation, which is in agreement with the findings of studies on developed stock markets. However, we cannot confirm the testable implications of the MDH in all cases, which indicates that future research on the causes and modeling of Polish stock market volatility is necessary.     

Global integration and emerging stock market excess returns

This article studies the effects of the global integration process on emerging stock market excess returns in a dynamic context. I improve the existing literature in four main directions. First, I show that the average excess returns rise as the level of financial and real integration rises. Second, I find overwhelming evidence that the financial liberalizations (i.e. de jure integration) of the late 1980s and early 1990s have not been simultaneously accompanied by a de facto integration. Third, I find that the percentage of variation in emerging excess returns explained by non-traded global risk factors rises as the level of market openness rises. Last, at the country level, I show that the correlation coefficient does not represent a robust measure of integration. Results also suggest that there are substantial cross-country differences in the dynamics of the degree of financial integration.     

Market sentiment to COVID-19 and the Chinese stock market

We classify the market sentiment to COVID-19 into expected and unexpected components and then examine their particular impacts on the stock market. We find that unexpected sentiment causes fluctuations in the stock market more than expected sentiment does. However, unexpected sentiment cannot affect stock market informativeness despite the remarkable informational effect of expected sentiment. Moreover, the relation between expected sentiment and stock market fluctuation or informativeness is one-way, whereas there exists a two-way interaction between unexpected sentiment and stock market fluctuation. This further confirms that expected sentiment is informational, whereas unexpected sentiment is quite noisy and informationally harmful.     

Overreaction in the Hong Kong stock market

Overreaction reported in the equity markets of the United States, Spain, and Brazil is also observed in the Hong Kong stock market. The “loser” portfolios of the 33 stocks in the Hang Seng Index (HSI), on average, outperform the “winner” portfolios by 9.9% 1 year after the formation periods. Besides its emphasis on the importance of the Hong Kong market in international investment, this paper is unique in some special features related to the overreaction study. Hong Kong has markets for index futures and stock futures. Only three stocks are used in the portfolios. All the stocks in the HSI have large market capitalization and liquidity and can be shorted with no up-tick rule. Unlike other studies in international stock markets, the “arbitrage” portfolio of buying the loser portfolio and shorting the winner portfolio can actually be formed with minimum cost and easy execution, which makes the overreaction phenomena in this study very powerful.