Good jump,bad jump,and option valuation

I develop a new class of closed‐form option pricing models that incorporate variance risk premium and symmetric or asymmetric double exponential jump diffusion. These models decompose the jump component into upward and downward jumps using two independent exponential distributions and thus capture the impact of good and bad news on asset returns and option prices. The empirical results show that the model with an asymmetric double exponential jump diffusion improves the fit on Shanghai Stock Exchange 50ETF returns and options and provides relatively better in‐ and out‐of‐sample pricing performance.     

Volatility and jump risk in option returns

We examine the importance of volatility and jump risk in the time-series prediction of S&P 500 index option returns. The empirical analysis provides a different result between call and put option returns. Both volatility and jump risk are important predictors of put option returns. In contrast, only volatility risk is consistently significant in the prediction of call option returns over the sample period. The empirical results support the theory that there is option risk premium associated with volatility and jump risk, and reflect the asymmetry property of S&P 500 index distribution.     

Industry variance risk premium,cross-industry correlation,and expected returns

We investigate the variance risk premium (VRP) and implied correlation (IC) at the industry level. Using the index and sector exchange-traded fund options, we construct-sector VRPs and cross-sector IC measures. Sector VRPs predict sector returns, and adding the average sector VRP with IC improves predictability. Combining the average sector VRP and IC outperforms the market VRP in predicting market returns both in-sample and out-of-sample and generates sizeable economic values. We document a strong spillover effect from sector VRPs to the market VRP. The average sector VRP and cross-sector IC contain information beyond the market VRP and cross-stock IC.     

Return predictability of variance differences: A fractionally cointegrated approach

This paper examines the fractional cointegration between downside (upside) components of realized and implied variances. A positive association is found between the strength of their cofractional relation and the return predictability of their differences. That association is established via the common long-memory component of the variances that are fractionally cointegrated, which represents the volatility-of-volatility factor that determines the variance premium. Our results indicate that market fears play a critical role not only in driving the long-run equilibrium relationship between implied-realized variances but also in understanding the return predictability. A simulation study further verifies these claims.     

The trend premium around the world: Evidence from the stock market

This paper studies the predictive power of the trend strategy in the international stock market. Using data from 49 markets, we find that a trend signal exploiting the short-, intermediate-, and long-term price information can predict stock returns cross-sectionally in the international market. The significance of the trend strategy is associated with market-level characteristics such as macroeconomic conditions, culture, and the information environment. The trend premium is more pronounced in markets with a more advanced macroeconomic status, a higher level of information uncertainty and individualism, and better accessibility to foreign investors. Nevertheless, the trend strategy only outperforms the momentum strategy in a relatively short horizon.     

EQUILIBRIUM ASSET AND OPTION PRICING UNDER JUMP DIFFUSION

This paper develops an equilibrium asset and option pricing model in a production economy under jump diffusion. The model provides analytical formulas for an equity premium and a more general pricing kernel that links the physical and risk‐neutral densities. The model explains the two empirical phenomena of the negative variance risk premium and implied volatility smirk if market crashes are expected. Model estimation with the S&P 500 index from 1985 to 2005 shows that jump size is indeed negative and the risk aversion coefficient has a reasonable value when taking the jump into account.     

Improving volatility prediction and option valuation using VIX information: A volatility spillover GARCH model

We develop a new generalized autoregressive conditional heteroskedasticity (GARCH) model that accounts for the information spillover between two markets. This model is used to detect the usefulness of the CBOE volatility index (VIX) for improving the performance of volatility forecasting and option pricing. We find the significant ability of VIX to predict stock volatility both in-sample and out-of-sample. VIX information also helps to greatly reduce the option pricing error. The proposed volatility spillover GARCH model performs better than the related approaches proposed by Kanniainen et al. (2014, J Bank Finance, 43, pp. 200-211) and P. Christoffersen et al. (2014, J Financ Quant Anal, 49, pp. 663–697).     

Arbitrage risk and the cross-section of stock returns: Evidence from China

We demonstrate that arbitrage risk, constructed using three measures — noise trader risk, trading cost and information uncertainty — can predict the return of stocks cross-sectionally in China. The findings are broadly consistent even when out-of-sample tests are conducted using the Fama-MacBeth cross-sectional regression approach. We also construct hypothetical portfolios using the information arising from arbitrage risk and find the existence of abnormal returns which is robust to the use of various portfolios constructed by re-sampling the observations through multiple approaches (e.g., by market capitalization and by book-to-market ratio). Lastly, we reconstruct our portfolios by considering the unique nature of the Chinese stock market (e.g., the dominance of individual investors). Our trading strategies again successfully obtain abnormal returns, suggesting that arbitrage risk can be useful to construct effective investment portfolios in China.     

Linking new product alliances to stock returns and risk

Although firms widely engage in new product alliances, prior research has paid limited attention to their financial impact, especially, both stock returns and risk. In addition to the direct impact of product alliances, I have assessed how firm and alliance characteristics can moderate such effects. I have examined firm size and alliance type as moderators to the product alliance and stock performance relationship. Using a large database of 506 firms and 3714 new product alliances over 21 years, I estimate a random effects model. My findings are that new product alliances demonstrate an increase in stock returns and a decrease in stock risk. In addition, these effects are heterogeneous across firm size and alliance type. This research has implications for both new product alliances and marketing-finance interface literature.     

Political connections,political cycles and stock returns: Evidence from Iran

We examine the effect of political connections and political cycles on stock returns of listed companies in Iran. Using 1146 firm-year observations derived from firms listed on the Tehran Stock Exchange (TSE) for the period 2005–2017, we find that political connections are positively associated with firms' annual actual returns and annual abnormal returns. Presidential elections strengthen the positive relationship between political connections and cumulative abnormal returns. Transfer of power to the Moderation (Principlist) party in 2013 (2005) strengthened (weakened) the positive relation between political connections and cumulative abnormal returns. Several sensitivity tests show that the results are not materially different from the main findings. Consistent with the political economy perspective, the findings suggest that political connections in a centrally planned economy are valuable for both parties and they become even more valuable in election years. Moreover, consistent with rational partisan theory, results suggest that investors react to political uncertainties stemming from presidential elections and transfer of power, even in emerging market economies like Iran.     

Show me the money: Option moneyness concentration and future stock returns

Informed traders often use options that are not in-the-money due to higher potential gains for a smaller upfront cost. Thus, trading activity by option moneyness should be a gauge of informed option trading. We construct a dollar volume-weighted average moneyness measure to capture option trading activity at different moneyness levels. Stock returns increase with this measure, suggesting more trading activity in options with higher leverage predicts future stock returns. Our results hold cross-sectionally and at the portfolio level yielding a Fama–French five-factor α of 12% per year for all stocks and 33% per year for high implied volatility stocks.     

Variance and skew risk premiums for the volatility market: The VIX evidence

We extract variance and skew risk premiums from volatility derivatives in a model-free way and analyze their relationships along with volatility index and equity index returns. These risk premiums can be synthesized through option trading strategies. Using a time series of option prices on the VIX, we find that variance swap excess return can be partially explained by volatility index and equity index excess returns while these latter variables carry little information for the skew swap excess return. The results sharply contrast with those obtained for the equity index option market underlining very specific characteristics of the volatility derivative market.     

The information content in implied idiosyncratic volatility and the cross‐section of stock returns: Evidence from the option markets

Current literature is inconclusive as to whether idiosyncratic risk influences future stock returns and the direction of the impact. Earlier studies are based on historical realized volatility. Implied volatilities from option prices represent the market's assessment of future risk and are likely a superior measure to historical realized volatility. Implied idiosyncratic volatilities on firms with traded options are used to examine the relationship between idiosyncratic volatility and future returns. A strong positive link was found between implied idiosyncratic risk and future returns. After considering the impact of implied idiosyncratic volatility, historical realized idiosyncratic volatility is unimportant. This performance is strongly tied to small size and high book‐to‐market equity firms. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28: 1013–1039, 2008     

The interaction between foreigners' trading and emerging stock returns: Evidence from Turkey

Using monthly foreign flows data on Istanbul Stock Exchange (ISE) and employing a structural VAR model, we analyze the interaction between foreigners' trading and emerging stock returns. In contrast to most of the available theory and repeated previous findings on other markets, foreign investors negative-feedback-trade with respect to past local returns in ISE, however only in rising markets and especially under macroeconomic instability. Net foreign flows forecast future market returns, but not individual stock returns. Price impacts are permanent, suggesting that foreigners' trading incorporates information. Overall, results reject previous conclusions that foreigners are uninformed positive feedback traders: rather, they are a heterogeneous group dominated by sophisticated investors able to rationally adjust their trading style in line with the market's prevailing characteristics.     

The impact of stock split handling rules on returns: Evidence from Canada

Canadian and US stock split handling rules differ. In the US, buying shares is inconvenient before the ex‐date. In Canada, sellers face a miniscule probability of a big loss if the split is cancelled between the ex‐date and payable date. On the ex‐date, Canadian stock returns are positive and the proportion of seller‐initiated trading declines. After the payable date, returns are negative and the proportion of seller‐initiated trading increases. For cross‐listed shares, effects of US and Canadian rules are offsetting as returns are insignificant. We conclude that rules associated with a remote possibility of large losses affect investor behaviour. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd.     

Pricing Stock Options in a Jump‐Diffusion Model with Stochastic Volatility and Interest Rates: Applications of Fourier Inversion Methods

Fast closed form solutions for prices on European stock options are developed in a jump‐diffusion model with stochastic volatility and stochastic interest rates. The probability functions in the solutions are computed by using the Fourier inversion formula for distribution functions. The model is calibrated for the S and P 500 and is used to analyze several effects on option prices, including interest rate variability, the negative correlation between stock returns and volatility, and the negative correlation between stock returns and interest rates.     

Antecedents of patent value using exchange option models: Evidence from a panel data analysis

This paper examines the patent impact factor by an empirical study using panel data. To investigate the impact factor of patent value, this study conducts a sensitivity analysis of a patent evaluation model within the framework of a real option, while considering the uncertainties associated with both patent counts and the amount of R&D per patent, and develops an empirical analysis method for examining the impact factor of a patent using an unbalanced two-way fixed effects model. The empirical results indicate that the increase of patent value accords with the increase in the patent counts, volatility and patent lifetime. Although patent value declines with the amount of R&D per patent, the impact is not significant. However, reducing cost, raising patent counts and enhancing innovation efficiency offer a feasible method for a firm to increase patent value.     

Company visits and stock price crash risk: Evidence from China

Using a sample of Chinese listed firms, we observe that firms more visited by analysts or institutional investors exhibit lower future stock price crash risk. This effect is more pronounced for firms facing more incentives for or fewer constraints on hiding bad news. Greater mitigation of crash risk occurs if more firm-specific information is discovered during such visits and if visits are conducted by analysts instead of institutional investors. The impact of company visits is observed mostly in the first half of the subsequent year. These findings suggest that company visits mitigate crash risk by discovering and disseminating firm-specific information.     

Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets

This paper investigates the presence of long memory in the eight Central and Eastern European (CEE) countries' stock market, using the ARFIMA, GPH, FIGARCH and HYGARCH models. The data set consists of daily returns, and long memory tests are carried out both for the returns and volatilities of these series. The results of the ARFIMA and GPH models indicate the existence of long memory in five of eight return series. The results also suggest that long memory dynamics in the returns and volatility might be modeled by using the ARFIMA–FIGARCH and ARFIMA–HYGARCH models. The results of these models indicate strong evidence of long memory both in conditional mean and conditional variance. Moreover, the ARFIMA–FIGARCH model provides the better out-of-sample forecast for the sampled stock markets.     

Expropriation risk and housing prices: Evidence from an emerging market

This paper examines the microeconomic determinants of residential real estate prices in Caracas, Venezuela, using a private database containing 17,526 transactions from 2008 to 2009. The particular institutional characteristics of many countries in Latin America, and Venezuela in particular, where land invasions and expropriations (with only partial compensation) have been common threats to property owners, provide us with an opportunity to test the effects of these risks on housing prices using a unique database. The effect of these risks on property prices is negative and significant. To our knowledge, this is the first attempt to quantify these impacts in the Hedonic pricing literature applied to real estate. Size, the number of parking spaces, the age of the property, the incidence of crime, and the average income in the neighborhood are significant determinants of prices. Finally, this paper analyzes the microeconomic determinants of housing prices at the municipal level.