Using a unique data set with detailed information on the derivative positions of upstream oil and gas firms during 1996–2008, we find that hedging intensity is positively related to factors that amplify chief executive officer (CEO) entrenchment and free cash flow agency costs. There is also robust evidence that hedging is motivated by the reduction of financial distress and borrowing costs, and that it is influenced by both intrinsic cash flow risk and temporary spikes in commodity price volatility. We present a comprehensive perspective on the determinants of corporate hedging, and the results are consistent with the predictions of the risk management and agency costs literatures.

Information asymmetry in financial markets relates to the idea that one party to a transaction has better information than the other. Since financial reporting involves the transmission of value relevant enterprise information, we investigate whether the quality of reported earnings can contribute to differentially informed financial market participants. Higher information asymmetry is costly as it increases the adverse selection risk for market participants and lowers liquidity. For a large sample of NYSE and NASDAQ firms, we show that (i) poor earnings quality is significantly and incrementally associated with higher information asymmetry, (ii) earnings quality disproportionately affects information asymmetry for firms with poor information environments, (iii) both innate and discretionary components of earnings quality increase information asymmetry, and (iv) poor earnings quality exacerbates the information asymmetry around earnings announcements. Our results suggest that the standard setters’ efforts to develop accounting standards that improve earnings quality should contribute to a better information environment for market participants and increase stock liquidity.

We examine whether the trading activities of retail and institutional investors cause comovements in stock returns. Around stock splits, retail trading correlations (RTCs) decrease with stocks in the presplit price range and increase with stocks in the post-split price range. These shifts in RTCs induce changes in return comovements. In the cross section, return comovements among low-priced stocks are amplified when retail trades are more correlated and when aggregate uncertainty amplifies behavioral biases. We find similar patterns among local stocks and when firms change their corporate headquarters. In contrast to retail trading, institutional trading attenuates return comovements.

This paper examines the characteristics and pricing of stocks that are actively traded by speculative retail investors. We find that stocks with high retail trading proportion (RTP) have strong lottery features and they attract retail investors with strong gambling propensity. Furthermore, these stocks tend to be overpriced and earn significantly negative alpha. The average monthly return differential between the extreme RTP quintiles is −0.60%. This negative RTP premium is stronger among stocks that have lottery features or arelocated in regions where people exhibit stronger gambling propensity. Collectively, these results indicate that speculative retail trading affects stock prices.

This paper examines whether political activism increases people's propensity to participate in the stock market. Our key conjecture is that politically active people follow political news more actively, which increases their chance of being exposed to financial news. Consequently, their information gathering costs are likely to be lower and the propensity to participate in the market would be higher. We find support for this hypothesis using multiple micro-level data sets, state-level data from the US, and cross-country data from Europe. Irrespective of their political affiliation, politically active individuals are 9–25% more likely to participate in the stock market. Using residence in “battleground” states and several other geographic instruments, we demonstrate that greater political activism reduces information gathering costs and causes higher market participation rates. Further, consistent with our conjecture, we find that politically active individuals spend about 30 minutes more on news daily and appear more knowledgeable about the economy and the markets.

Using a demographics-based proxy for smartness, we show that the portfolio distortions of “smart” investors reflect an informational advantage, while the distortions of “dumb” investors reflect psychological biases. Specifically, smart investors outperform dumb investors by about 3% annually on a risk-adjusted basis. Furthermore, among investors with high portfolio distortions, smart investors outperform passive benchmarks by 2%, and the smart-dumb performance differential is 5%. At the stock level, a portfolio of stocks with smart investor clientele outperforms the dumb clientele portfolio by 3.50% annually. These findings suggest that behavioral and information-based explanations for portfolio distortions apply to distinct subsets of investors.

We examine the impact of institutional trading on stock resiliency during the financial crisis of 2007–2009. We show that buy-side institutions have different exposure to liquidity factors based on their trading style. Liquidity supplying institutions absorb the long-term order imbalances in the market and are critical to recovery patterns after a liquidity shock. We show that these liquidity suppliers withdraw from risky securities during the crisis and their participation does not recover for an extended period of time. The illiquidity of specific stocks is significantly affected by institutional trading patterns; participation by liquidity supplying institutions can ameliorate illiquidity, while participation by liquidity demanding institutions can exacerbate illiquidity. Our results provide guidance on why some stocks take longer to recover in a crisis.

This study examines whether local stock returns vary with local business cycles in a predictable manner. We find that U.S. state portfolios earn higher future returns when state‐level unemployment rates are higher and housing collateral ratios are lower. During the 1978 to 2009 period, geography‐based trading strategies earn annualized risk‐adjusted returns of 5%. This abnormal performance reflects time‐varying systematic risks and local‐trading induced mispricing. Consistent with the mispricing explanation, the evidence of predictability is stronger among firms with low visibility and high local ownership. Nonlocal domestic and foreign investors arbitrage away the predictable patterns in local returns in 1 year.

In this paper we study whether the commodity futures market predicts the commodity spot market. Using historical daily data on four commodities—oil, gold, platinum, and silver—we find that they do. We then show how investors can use this information on the futures market to devise trading strategies and make profits. In particular, dynamic trading strategies based on a mean–variance investor framework produce somewhat different results compared with those based on technical trading rules. Dynamic trading strategies suggest that all commodities are profitable and profits are dependent on structural breaks. The most recent global financial crisis marked a period in which commodity profits were the weakest.