The Risk of Skewness and Kurtosis in Oil Market and the Cross-Section of Stock Returns PDF Download
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Author: Nima Ebrahimi
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description
We show that exposure to the risk of kurtosis in oil market drives the cross-section of stock returns from 1996 to 2014. The average monthly difference between the return of portfolio of stocks with low exposure and high exposure to the risk of kurtosis is -0.37%, showing that higher exposure to oil's kurtosis risk will be penalized by lower average returns. We are able to confirm the significance of kurtosis risk within the statistical framework of Carhart 4-factor model. In contrast to the skewness risk, which is only a significant player in some of the sub-periods, kurtosis risk is keeping its significance through all sub-periods, as well as after taking market moments into account and within different maturities. The significance of the risk of skewness gets more evident moving from shorter to longer maturities. The risk of volatility, which has been shown to be a significant-priced risk in the cross-section of stock returns in literature, loses its significance after controlling for the third and fourth moments.
Author: Nima Ebrahimi
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description
We show that exposure to the risk of kurtosis in oil market drives the cross-section of stock returns from 1996 to 2014. The average monthly difference between the return of portfolio of stocks with low exposure and high exposure to the risk of kurtosis is -0.37%, showing that higher exposure to oil's kurtosis risk will be penalized by lower average returns. We are able to confirm the significance of kurtosis risk within the statistical framework of Carhart 4-factor model. In contrast to the skewness risk, which is only a significant player in some of the sub-periods, kurtosis risk is keeping its significance through all sub-periods, as well as after taking market moments into account and within different maturities. The significance of the risk of skewness gets more evident moving from shorter to longer maturities. The risk of volatility, which has been shown to be a significant-priced risk in the cross-section of stock returns in literature, loses its significance after controlling for the third and fourth moments.
Author: Abdullah Al Masud
Publisher:
ISBN:
Category :
Languages : en
Pages : 21
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Book Description
In this study, I show an e ect of the statistical fourth moment on stock returns. In the mean-variance framework, rational investors follow two strategies: optimize the mean-variance of return and diversify the portfolio. Regarding the first approach, investors intend to generate the maximum level of return while facing a constant level of risk (or, the standard deviation) of return. It is possible that form specific risk can be concentrated in the portfolio. However, diversification of the assets can eliminate that (idiosyncratic) risk from the portfolio. After a long period of time, in a diversified portfolio the shape of the return distribution appears to be peaked around the average value of the return compared with that of the typical shape of the return dis- tribution. If investors have a preference for skewness in their returns, they also can produce peakedness in the shape of the distribution. The statistical fourth moment (kurtosis) measures the magnitude of peakedness of the distribution. As the kurtosis of the distribution increases the distribution will appear more peaked. I find evidence that kurtosis positively and significantly predicts future stock returns over the period 1981-2011. The effect remains after controlling for other factors in multivariate regressions.
Author: Robert F. Engle
Publisher:
ISBN:
Category :
Languages : en
Pages : 28
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Book Description
We investigate the sources of skewness in aggregate risk-factors and the cross-section of stock returns. In an ICAPM setting with conditional volatility, we find theoretical time series predictions on the relationships among volatility, returns, and skewness for priced risk factors. Market returns resemble these predictions; however, size, book-to-market, and momentum factor returns show alternative behavior, leading us to conclude these factors are not priced risks. We link aggregate risk and skewness to individual stocks and find empirically that the risk aversion effect manifests in individual stock skewness. Additionally, we find several firm characteristics that explain stock skewness. Smaller firms, value firms, highly levered firms, and firms with poor credit ratings have more positive skewness.
Author: Riza Demirer
Publisher:
ISBN:
Category :
Languages : en
Pages : 37
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Book Description
The main goal of this paper is to examine whether oil price risk is systematically priced in the cross-section of stock returns in net oil-exporting countries even after controlling for market and firm-level risk factors. Using firm-level data from the Gulf Arab stock markets, we find that stocks that are more sensitive to oil price changes indeed yield significantly higher returns, suggesting that oil price exposure can serve as a return predictor in these stock markets. However, we also find that it is the absolute exposure of a stock that drives returns, suggesting fluctuations in the oil price as a source of stock return premia in these markets. Our tests further suggest that a portfolio strategy based on a stock's absolute exposure to oil price risk yields significant positive subsequent returns as well, suggesting an investment strategy based on the absolute oil price risk exposure of stocks in net exporting nations.
Author: Turan G. Bali
Publisher:
ISBN:
Category :
Languages : en
Pages : 71
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Book Description
Motivated by the nature of asset pricing models, we investigate the cross-sectional relation between the market's ex-ante view of a stock's risk and the stock's ex-ante expected return. We demonstrate that an ex-ante measure of expected returns based on analyst price targets is highly related to the market's required rate of return. Using this measure, we show that ex-ante measures of volatility, skewness, and kurtosis derived from option prices are positively related to ex-ante expected returns. We then decompose the risk measures into systematic and unsystematic components and find that while expected returns are related to both systematic and unsystematic variance risk, only the unsystematic components of skewness and kurtosis are important for explaining the cross-section of expected stock returns. The results are consistent using two different approaches to measuring ex-ante risk and robust to controls for other variables related to stock returns and analyst bias.
Author: Arjun Chatrath
Publisher:
ISBN:
Category :
Languages : en
Pages : 38
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Book Description
This paper examines the information content of risk-neutral moments to explain crude oil futures returns. Implied volatility and higher moments are extracted from observed crude oil option prices using a model-free implied volatility framework and the Black-Scholes model. We find a tenuous and time-varying association between returns and implied volatility and its innovations. Specifically, changes in implied volatility are found to be meaningfully associated with crude returns only over the period spanning the recent financial crisis. Overall, results are consistent with prior evidence that crude oil prices are determined primarily in a flow demand/supply environment. Finally, we document that oil risk is priced into the cross-section of stock returns in the oil and transportation sectors.
Author: Ilan Cooper
Publisher:
ISBN:
Category :
Languages : en
Pages : 79
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Book Description
We derive a parsimonious three-factor asset pricing model (cross-sectional CAPM, CS-CAPM) in which stock return dispersion (realized cross-sectional variance of long-short equity portfolios) and stock return skewness (realized cross-sectional skewness of equity portfolios) are the driving forces in pricing cross-sectional equity risk premia. Market segmentation leads these two factors to be priced in equilibrium. The model offers a large fit for the joint cross-sectional risk premia associated with 16 prominent CAPM anomalies, with explanatory ratios above 40%. The CS-CAPM compares favorably with multifactor models widely used in the literature. The cross-sectional factors are not subsumed by traditional macro risk factors.
Author: Diego Amaya
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We use intraday data to compute weekly realized variance, skewness, and kurtosis for equity returns and study the realized moments' time-series and cross-sectional properties. We investigate if this week's realized moments are informative for the cross-section of next week's stock returns. We find a very strong negative relationship between realized skewness and next week's stock returns. A trading strategy that buys stocks in the lowest realized skewness decile and sells stocks in the highest realized skewness decile generates an average weekly return of 19 basis points with a t-statistic of 3.70. Our results on realized skewness are robust across a wide variety of implementations, sample periods, portfolio weightings, and firm characteristics, and are not captured by the Fama-French and Carhart factors. We find some evidence that the relationship between realized kurtosis and next week's stock returns is positive, but the evidence is not always robust and statistically significant. We do not find a strong relationship between realized volatility and next week's stock returns.
Author: Simon Oh
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This paper evaluates skewness in the cross-section of stock returns in light of predictions from a well-known class of models. Cross-sectional skewness in monthly returns far exceeds what the standard lognormal model of returns would predict. However, skewness in long-run returns substantially understates what the lognormal model would predict. Nonstationary share dynamics imply a breakdown in the distinction between market and idiosyncratic risk in the lognormal model. We present an alternative model that matches the skewness in the data and implies stationary wealth shares. In this model, idiosyncratic risk is the primary driver of growth in the economy.
Author: Nima Ebrahimi
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We show that the innovation in the risk-neutral probability of large downward and upward jumps in oil prices has a considerable predictive power for important economic indicators such as GDP growth, consumption growth, and total investment. In addition, we observe that the upside jump risk probability is a significant predictor of stock market index return and the returns of oil futures. Furthermore, the upside jump probability is a significant and relatively strong predictor of oil market fundamentals including inventory growth, demand growth, and OPEC's production growth. Upside jump risk is also a driver of the cross-section of stock returns before the U.S. oil production increase in 2011. The average monthly return for the high-low upside jump risk exposure portfolio is -0.94% and -1.13%, using the 1996-2014 and 1996-2011 time periods respectively. The implications of the variance risk for the cross-section of stock returns vanishes after controlling for the large upside and downside jump risks. The shale revolution and considerable increase of the US oil production have killed the effect of upside risk premium after 2011. During the sub-period 2011-2014, the variance risk premium gets significant again, like it was before 2000.
