Showing papers on "Stock (geology) published in 2012"

Uncertainty about Government Policy and Stock Prices

Abstract: We analyze how changes in government policy affect stock prices. Our general equilibrium model features uncertainty about government policy and a government that has both economic and non-economic motives. The government tends to change its policy after performance downturns in the private sector. Stock prices fall at the announcements of policy changes, on average. The price fall is expected to be large if uncertainty about government policy is large, as well as if the policy change is preceded by a short or shallow downturn. Policy changes increase volatility, risk premia, and correlations among stocks. The jump risk premium associated with policy decisions is positive, on average.

Oil Price Shocks and Stock Market Returns: Evidence from Oil-Importing and Oil-Exporting Countries

Abstract: While the relationship between oil prices and stock markets is of great interest to economists, previous studies do not differentiate oil-exporting countries from oil-importing countries when they investigate the effects of oil price shocks on stock market returns. In this paper, we address this limitation using a structural VAR analysis. Our main findings can be summarized as follows: First, the magnitude, duration, and even direction of response by stock market in a country to oil price shocks highly depend on whether the country is a net importer or exporter in the world oil market, and whether changes in oil price are driven by supply or aggregate demand. Second, the relative contribution of each type of oil price shocks depends on the level of importance of oil to national economy, as well as the net position in oil market and the driving forces of oil price changes. Third, the effects of aggregate demand uncertainty on stock markets in oil-exporting countries are much stronger and more persistent than in oil-importing countries. Finally, positive aggregate and precautionary demand shocks are shown to result in a higher degree of co-movement among the stock markets in oil-exporting countries, but not among those in oil-importing countries.

The Long-Run Risks Model and Aggregate Asset Prices: An Empirical Assessment

Abstract: The long-run risks model of asset prices explains stock price variation as a response to persistent fluctuations in the mean and volatility of aggregate consumption growth, by a representative agent with a high elasticity of intertemporal substitution. This paper documents several empirical difficulties for the model, as calibrated by Bansal and Yaron (BY, 2004) and Bansal et al. (BKY, 2011). U.S. data do not show as much univariate persistence in consumption or dividend growth as implied by the model. BY’s calibration counterfactually implies that long-run consumption and dividend growth should be highly predictable from stock prices. BKY’s calibration does better in this respect by greatly increasing the persistence of volatility fluctuations and their impact on stock prices. This calibration fits the predictive power of stock prices for future consumption volatility, but implies much greater predictive power of stock prices for future stock return volatility than is found in the data. The long-run risks model, particularly as calibrated by BKY, implies extremely low yields and negative term premia on inflation-indexed bonds. Finally, neither calibration can explain why movements in real interest rates do not generate strong predictable movements in consumption growth.

Oil prices and stock markets in gcc countries: empirical evidence from panel analysis

Abstract: In this paper, we examine long-run links between oil prices and stock markets in Gulf Cooperation Council (GCC) using recent bootstrap panel cointegration techniques and seemingly unrelated regression (SUR) methods. Since GCC countries are major world energy market players, their stock markets are likely to be susceptible to oil price. We show that there is evidence for cointegration between oil prices and stock markets in GCC countries, while the SUR results indicate that oil price increases have a positive impact on stock prices, except in Saudi Arabia. Copyright © 2011 John Wiley & Sons, Ltd.

Law, Stock Markets, and Innovation

Abstract: We study a broad sample of firms across 32 countries and find that strong shareholder protections and better access to stock market financing lead to substantially higher long-run rates of R&D investment, particularly in small firms, but are unimportant for fixed capital investment. Credit market development has a modest impact on fixed investment but no impact on R&D. These findings directly connect law and stock markets with innovative activities key to economic growth and show that legal rules and financial developments affecting the availability of external equity financing are particularly important for risky, intangible investments not easily financed with debt.

Size, Value, and Momentum in Emerging Market Stock Returns

Abstract: In this paper, we examine value and momentum effects in 18 emerging stock markets. Using stock level data from January 1990 to December 2011, we find strong evidence for the value effect in all emerging markets and the momentum effect for all but Eastern Europe. We investigate size patterns in value and momentum. After forming portfolios sorted on size and book-to-market ratio, as well as size and lagged momentum, we use three well-known factor models to explain the returns for these portfolios based on factors constructed using local, U.S., and aggregate global developed stock markets data. Local factors perform much better, suggesting emerging market segmentation.

Quantifying the Behavior of Stock Correlations Under Market Stress

Abstract: Understanding correlations in complex systems is crucial in the face of turbulence, such as the ongoing financial crisis. However, in complex systems, such as financial systems, correlations are not constant but instead vary in time. Here we address the question of quantifying state-dependent correlations in stock markets. Reliable estimates of correlations are absolutely necessary to protect a portfolio. We analyze 72 years of daily closing prices of the 30 stocks forming the Dow Jones Industrial Average (DJIA). We find the striking result that the average correlation among these stocks scales linearly with market stress reflected by normalized DJIA index returns on various time scales. Consequently, the diversification effect which should protect a portfolio melts away in times of market losses, just when it would most urgently be needed. Our empirical analysis is consistent with the interesting possibility that one could anticipate diversification breakdowns, guiding the design of protected portfolios.

Corporate Board Gender Diversity and Stock Performance: The Competence Gap or Institutional Investor Bias?

Abstract: Women have been gaining ground on corporate boards. They held 14.8% of Fortune 500 seats in 2007. Yet the effect of women on corporate performance is a matter of some debate. Studies using data at one or two points in time find that gender diversity on boards is associated with higher stock values and greater profitability.

The Long-Run Risks Model and Aggregate Asset Prices: An Empirical Assessment

Abstract: The long-run risks model of asset prices explains stock price variation as a response to persistent fluctuations in the mean and volatility of aggregate consumption growth, by a representative agent with a high elasticity of intertemporal substitution. This paper documents several empirical difficulties for the model, as calibrated by Bansal and Yaron (BY, 2004) and Bansal et al. (BKY, 2011). U.S. data do not show as much univariate persistence in consumption or dividend growth as implied by the model. BY's calibration counterfactually implies that long-run consumption and dividend growth should be highly predictable from stock prices. BKY's calibration does better in this respect by greatly increasing the persistence of volatility fluctuations and their impact on stock prices. This calibration fits the predictive power of stock prices for future consumption volatility, but implies much greater predictive power of stock prices for future stock return volatility than is found in the data. The long-run risks model, particularly as calibrated by BKY, implies extremely low yields and negative term premia on inflation-indexed bonds. Finally, neither calibration can explain why movements in real interest rates do not generate strong predictable movements in consumption growth.

How Wise Are Crowds? Insights from Retail Orders and Stock Returns

Abstract: We analyze the role of retail investors in stock pricing using a database uniquely suited for this purpose. The data allow us to address selection bias concerns and to separately examine aggressive (market) and passive (limit) orders. Both aggressive and passive net buying positively predict firms' monthly stock returns with no evidence of return reversal. Only aggressive orders correctly predict firm news, including earnings surprises, suggesting they convey novel cash flow information. Only passive net buying follows negative returns, consistent with traders providing liquidity and benefitting from the reversal of transitory price movements. These actions contribute to market efficiency.

Sovereign credit risk, banks' government support, and bank stock returns around the world

Abstract: Banking crises have been largely associated with la rge output and welfare losses, and bank bailouts by the public sector are a recurring feature of financial crises. Such stylized facts underscore the importance of a well- functioning financial system for attaining economic stability and growth, as well as the relevance of understanding the relationship between the economic conditions fa ced by the government and the banking sector. In particular, differences and cha nges in explicit (and implicit) government support to banks may affect investors’ i ncentives to hold bank stocks, and thus impact banks’ external financing costs, wh ich may send ripples through the rest of the economy. Similarly, sovereign debt rat ing changes may unveil new information about a country’s fundamentals, generat ing a significant externality for the country’s banking system, and thus they also af fect investors’ incentives to hold bank stocks. We explore the joint impact of sovere ign debt rating changes and government support on bank stock returns from 36 countries between 1995 and 2011. Our findings show that sovereign rating chan ges have a significant and robust impact on bank stock returns. The impact is nonlin ear and varies across banks and countries. Moreover, we find that the effect is as ymmetric and stronger for downgrades than for upgrades, and that large downgr ades have a particularly strong negative impact on returns. Importantly, this resu lt is significantly stronger for banks with more ex-ante government support, providing evidence that investors perceive sovereigns and domestic banks as markedly interconnected.

Low Risk Stocks Outperform within All Observable Markets of the World

Abstract: This article provides global evidence supporting the Low Volatility Anomaly: that low risk stocks consistently provide higher returns than high risk stocks. This study covers 33 different markets during the time period from 1990-2011. (Two previous studies by Haugen & Heins (1972) and Haugen & Baker (1991) show the same negative payoff to risk in time periods 1926-1970 and 1970-1990.) The procedure for our study is intentionally simple, transparent and easily replicable. Our samples include non-survivors. We look at an international universe of stocks beginning with the first month of 1990 until December 2011; we compute the volatility of total return for each company in each country over the previous 24 months. Stocks in each country are ranked by volatility and formed into deciles. In the total universe and in each individual country low risk stocks outperform, the relationship with respect to Sharpe ratios is even more impressive. We believe this anomaly is caused primarily by agency issues, namely the compensation structures and internal stock selection processes at asset management firms which lead institutional investors on average to hold more volatile stocks. The article also addresses the implications for how corporate finance managers make capital investment decision in light of this evidence. The evidence presented here dethrones both CAPM and the Efficient Market Hypothesis.

Size Anomalies in U.S. Bank Stock Returns

Abstract: The largest commercial bank stocks, ranked by the total size of the balance sheet, have significantly lower risk-adjusted returns than small- and medium-sized bank stocks, even though large banks are significantly more levered. We uncover a size factor in the component of bank returns that is orthogonal to the standard risk factors, including small-minus-big, which has the right covariance with bank returns to explain the average risk-adjusted returns. This factor measures size-dependent exposure to bank-specific tail risk. These findings are consistent with the existence of government guarantees that protect shareholders of large banks, but not small banks, in disaster states.

Cross-Section of Option Returns and Idiosyncratic Stock Volatility

Abstract: This paper documents a robust new finding that delta-hedged equity option return decreases monotonically with an increase in the idiosyncratic volatility of the underlying stock. This result can not be explained by standard risk factors. It is distinct from existing anomalies in the stock market or volatility-related option mispricing. It is consistent with market imperfections and constrained financial intermediaries. Dealers charge a higher premium for options on high idiosyncratic volatility stocks due to their higher arbitrage costs. Controlling for limits to arbitrage proxies reduces the strength of the negative relation between delta-hedged option return and idiosyncratic volatility by about 40%.

Why Are U.S. Stocks More Volatile

Abstract: U.S. stocks are more volatile than stocks of similar foreign firms. A firm's stock return volatility can be higher for reasons that contribute positively (good volatility) or negatively (bad volatility) to shareholder wealth and economic growth. We find that the volatility of U.S. firms is higher mostly because of good volatility. Specifically, stock volatility is higher in the United States because it increases with investor protection, stock market development, new patents, and firm-level investment in R&D. Each of these factors is related to better growth opportunities for firms and better ability to take advantage of these opportunities.