Volatility and Predictability in National Stock Markets


Book Description

This paper examines the evidence for the common assertion that the volatility of emerging stock markets has increased as a result of the liberalization of markets. A range of measures suggests that there has been no generalized increase in volatility in recent years; indeed, it appears that volatility may have tended to fall rather than rise on average. The paper also tests for the predictability of long-horizon returns in emerging markets. While there is evidence for positive autocorrelation in returns at horizons of one or two quarters, the autocorrelations appear to turn negative at horizons of a year or more. However, the magnitude of the apparent return reversals is not that much larger than reversals in some mature markets. One interpretation of the results would be that emerging markets have not consistently been subject to fads or bubbles, or at least no more so than in some industrial countries. In general, the liberalization and broadening of emerging markets should lead to a reduction in return volatility as risk is spread among a larger number of investors.










Stock Market Volatility


Book Description

Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel




Stock Volatility Predictability in Bull and Bear Markets


Book Description

Recent literature on stock return predictability suggests that it varies substantially across economic states being strongest during bad economic times. In line with this evidence, we document that stock volatility predictability is also state dependent. In particular, using a large data set of high-frequency data on individual stocks and a few popular time-series volatility models, in this paper we comprehensively examine how volatility forecastability varies across bull and bear states of the stock market. We find that the volatility forecast horizon is substantially longer when the market is in a bear state than when it is in a bull state. In addition, the volatility forecast accuracy is higher and forecast bias is lower when the market is in a bear state. Our study concludes that the stock volatility predictability is strongest during bad economic times proxied by bear market states.







Beast on Wall Street


Book Description

It is now abundantly clear that stock volatility is a contagious disease that spreads virulently from market to market around the world. Price changes in one market drive subsequent price changes in that market as well as in others. In Beast, Haugen makes a compelling case for the fact that even under normal conditions, fully 80 percent of stock volatility is price driven. Moreover, this volatility is far from benign. It acts to reduce the level of investment spending and constitutes a significant and permanent drag on economic growth. Price-driven volatility is unstable. Dramatic and unpredictable explosions in price-driven volatility can send stock markets in a downward spiral and cause significant disruptions in economic activity. Haugen argues that this indeed happened in 1929 and 1930. If volatility in Asian markets persists, it can easily become the source of the problem rather than merely a symptom.







Volatility Risk and Stock Return Predictability


Book Description

This paper investigates the role of volatility risk on stock return predictability. Using 596 stock options traded at the American Stock Exchange and the Chicago Board Options Exchange (CBOE) for the period from January 2001 to December 2010 we examine the relation between different idiosyncratic volatility measures and expected stock returns for a period that involves both the dotcom bubble and the recent financial crisis. We first show that implied idiosyncratic volatility is the best stock return predictor among the different volatility measures used. Second, cross-section firm-specific characteristics are important on stock returns forecast. Third, we provide evidence that higher short selling constraints impact negatively stock returns having liquidity the opposite effect.