Do oil futures prices predict stock returns?

This paper explores stock return predictability by exploiting the cross-section of oil futures prices. Motivated by the principal component analysis, we find the curvature factor of the oil futures curve predicts monthly stock returns: a 1% per month increase in the curvature factor predicts 0.4% per month decrease in stock market index return. This predictive pattern is prevailing in non-oil industry portfolios, but is absent for oil-related portfolios. The in- and out-of-sample predictive power of the curvature factor for non-oil stocks is robust and outperforms many other predictors, including oil spot prices. The predictive power of the curvature factor comes from its ability to forecast supply-side oil shocks, which only affect non-oil stocks and are hedged by oil-related stocks.     

Does board gender diversity improve the informativeness of stock prices?

We show that stock prices of firms with gender-diverse boards reflect more firm-specific information after controlling for corporate governance, earnings quality, institutional ownership and acquisition activity. Further, we show that the relationship is stronger for firms with weak corporate governance suggesting that gender-diverse boards could act as a substitute mechanism for corporate governance that would be otherwise weak. The results are robust to alternative specifications of informativeness and gender diversity and to sensitivity tests controlling for time-invariant firm characteristics and alternative measures of stock price informativeness. We also find that gender diversity improves stock price informativeness through the mechanism of increased public disclosure in large firms and by encouraging private information collection in small firms.     

Do investors prefer round stock prices? Evidence from Israeli IPO auctions

We find round number clustering in orders submitted by investors in Israeli IPO auctions. Explanations offered for price clustering, such as dealer collusion or implicit agreement to simplify negotiations, cannot explain price clustering in this market. Therefore, this is direct evidence that investors prefer round numbers.     

Do stock prices influence corporate decisions? Evidence from the technology bubble

We study the capital investment, stock issuance, and cash savings behavior of non-tech manufacturers (old economy firms) during the 1990s technology bubble. Our empirical results show that high stock prices affect corporate policies because they relax financing constraints. During the tech bubble, constrained non-tech firms' investment responded strongly to “high stock prices” (specifically, the component of price that is not captured by fundamentals). They also issued stock in response to that overvaluation effect, saving part of the proceeds in their cash accounts. We find no such patterns for unconstrained non-tech firms, nor for tech firms. Our findings are not consistent with the notion that managers systematically issue overvalued stocks and invest in ways that transfer wealth from new to old shareholders. More broadly, they suggest that what appears to be overvaluation in one sector of the economy may have positive externalities for other sectors.     

Do exchange rate changes have symmetric or asymmetric effects on stock prices?

Several macro variables have been identified as determinants of stock prices and exchange rate is among them. Exchange rate changes can affect different firms differently depending on whether they are export oriented or they use heavily imported inputs. Therefore, the overall effects of exchange rate changes on an aggregate stock price index could be in either direction. Previous research assumed that exchange rate changes have symmetric effects on stock prices. In this paper after introducing nonlinearity into adjustment process and after using Nonlinear ARDL approach to cointegration and error-correction modeling combined with monthly data from Brazil, Canada, Chile, Indonesia, Japan, Korea, Malaysia, Mexico, and the U.K., we show that exchange rate changes have asymmetric effects on stock prices, though the effects are mostly short-run.     

Do stock prices reflect undisclosed financial statement information? Evidence from the OTCBB

I exploit a regulatory change that mandated that Over-the-Counter Bulletin Board (OTCBB) firms must comply with the reporting requirements of the 1934 Securities Exchange Act. I use this change to examine the association between equity values and financial statement data in voluntary and mandatory disclosure environments. Before the change, disclosure of financial statement information was voluntary for most of these firms. I study firms that initiate SEC filing after the change and classify them as disclosing and nondisclosing based on whether they voluntarily disclosed financial statement information before the regulatory change. In these firms’ initial SEC filings after the eligibility rule, they retroactively disclose financial statement information for the year prior to compliance with the rule. Thus I can observe previously withheld financial data. I find that the choice to voluntarily disclose is negatively associated with firm characteristics related to proprietary costs and with situations in which accounting information plays a less important role in resolving information asymmetry. For nondisclosing firms, I find evidence that equity values reflect financial statement data, even though this information was not publicly available, and that compliance with mandatory SEC disclosure requirements strengthens this association. For disclosing firms, I find evidence that suggests investors viewed their voluntary disclosure of financial statement data as credible and fail to find evidence that compliance with mandatory reporting requirements enhances this association.     

Does the stock market fully value intangibles? Employee satisfaction and equity prices

This paper analyzes the relationship between employee satisfaction and long-run stock returns. A value-weighted portfolio of the “100 Best Companies to Work For in America” earned an annual four-factor alpha of 3.5% from 1984 to 2009, and 2.1% above industry benchmarks. The results are robust to controls for firm characteristics, different weighting methodologies, and the removal of outliers. The Best Companies also exhibited significantly more positive earnings surprises and announcement returns. These findings have three main implications. First, consistent with human capital-centered theories of the firm, employee satisfaction is positively correlated with shareholder returns and need not represent managerial slack. Second, the stock market does not fully value intangibles, even when independently verified by a highly public survey on large firms. Third, certain socially responsible investing (SRI) screens may improve investment returns.     

Are small firms less vulnerable to overpriced stock offers?

We show an inverted-U relation between targetiveness (probability of being targeted) and firm size. However, this pattern describes stock offers and is more pronounced during hot markets characterized by higher stock valuations. For cash offers we find a negative and monotonic relation. These contrasting patterns suggest that small firms (in the bottom NYSE size quartile) are less vulnerable to overpriced stock offers. In addition, we find that the stock acquirers of small targets are less overvalued than those of large targets, and that the announcement returns are less negative for stock acquirers of small targets than for those of large targets.     

Cryptocurrencies and stock market indices. Are they related?

In this paper, we investigate the stochastic properties of six major cryptocurrencies and their bilateral linkages with six stock market indices using fractional integration techniques. From the univariate analysis, we observe that for Bitcoin and Ethereum, the unit root null hypothesis cannot be rejected; for Litecoin, Ripple and Stellar, the order of integration is found to be significantly higher than 1; for Tether, however, we find evidence in favour of mean reversion. For the stock market indices, the results are more homogeneous and the unit root cannot be rejected in any of the series, with the exception of VIX where mean reversion is obtained. Concerning bivariate results within the cryptocurrencies and testing for cointegration, we provide evidence of no cointegration between the six cryptocurrencies. Along the same lines, testing for cointegration between the cryptocurrencies and the stock market indices, we find evidence of no cointegration, which implies that the cryptocurrencies are decoupled from the mainstream financial and economic assets. The findings in this paper indicate the significant role of cryptocurrencies in investor portfolios since they serve as a diversification option for investors, confirming that cryptocurrency is a new investment asset class.     

Are executive stock option exercises driven by private information?

In this study, we investigate the extent to which exercise of executive stock options is based upon private information. Contrary to popular belief, we find that shares are held more than 30 days following over a quarter of options exercised. Partitioning the data, we find weak evidence that decisions to exercise and sell immediately are prompted by bad news and stronger evidence that decisions to exercise and hold for at least 30 days are prompted by good news. Enhancing the power of our tests by considering several factors important to exercise decisions, we find that the higher the opportunity costs of early exercise as measured by the time-value of options, the greater the trading profits to executives. We also find that the greater the disguise provided by incentives to diversify and consume as measured by the depth of options in the money, the greater the trading profits to executives who exercise and sell. Turning to non-exercise decisions, we find that a strategy of holding options rather than shares to exploit good news yields positive abnormal returns consistent with theoretical predictions in the absence of dividends.

Exchange rate pass-through into import prices revisited: What drives it?

A large sample of developed and emerging economies is utilized to investigate import exchange rate pass-through. Panel models reveal that various economic aspects of the destination country can explain about one third of the total variation in pass-through elasticities and the remaining variation comes largely in the form of unobserved country-specific effects. Inflation, exchange rate volatility, openness and relative wealth play a clear role as drivers of emerging markets’ pass-through whereas the output gap and protectionism appear influential more generally. Nonlinearity regarding large-versus-small changes in the exchange rate is quite pervasive. Our evidence challenges the widely-held view that pass-through has been universally falling in developed markets and that it is higher for emerging markets. The economic drivers are shown to play a role as out-of-sample predictors of pass-through. The findings confirm pricing-to-market theories and have implications for the optimal conduct of monetary policy.     

The effect of CEO luck on the informativeness of stock prices: Do lucky CEOs improve stock price informativeness?

CEOs are “lucky” when they are granted stock options on days when the stock price is lowest in the month of the grant, implying opportunistic timing and severe agency problems (Bebchuk et al., 2010). Using idiosyncratic volatility as our measure of stock price informativeness, we find that lucky CEOs improve the informativeness of stock prices significantly. In particular, CEO luck raises the degree of informativeness by 4.39%. Powerful CEOs who can circumvent governance mechanisms and successfully practice opportunistic timing of options grants are so secured in their positions that they have fewer incentives to conceal information, thereby improving informativeness.     

Leveraged Lévy processes as models for stock prices

Adopting a constant elasticity of variance formulation in the context of a general Lévy process as the driving uncertainty we show that the presence of the leverage effect? ?One explanation of the documented negative relation between market volatilities and the level of asset prices (the ‘smile’ or ‘skew’), we term the ‘leverage effect’, argues that this negative relation reflects greater risk taking by the management, induced by a fall in the asset price, with a view of maximizing the option value of equity shareholders. in this form has the implication that asset price processes satisfy a scaling hypothesis. We develop forward partial integro-differential equations under a general Markovian setup, and show in two examples (both continuous and pure-jump Lévy) how to use them for option pricing when stock prices follow our leveraged Lévy processes. Using calibrated models we then show an example of simulation-based pricing and report on the adequacy of using leveraged Lévy models to value equity structured products.     

Are RiskMetrics forecasts good enough? Evidence from 31 stock markets

Academic research has highlighted the inherent flaws within the RiskMetrics model and demonstrated the superiority of the GARCH approach in-sample. However, these results do not necessarily extend to forecasting performance. This paper seeks answer to the question of whether RiskMetrics volatility forecasts are adequate in comparison to those obtained from GARCH models. To answer the question stock index data is taken from 31 international markets and subjected to two exercises, a straightforward volatility forecasting exercise and a Value-at-Risk exceptions forecasting competition. Our results provide some simple answers to the above question. When forecasting volatility of the G7 stock markets the APARCH model, in particular, provides superior forecasts that are significantly different from the RiskMetrics models in over half the cases. This result also extends to the European markets with the APARCH model typically preferred. For the Asian markets the RiskMetrics model performs well, and is only significantly dominated by the GARCH models for one market, although there is evidence that the APARCH model provides a better forecast for the larger Asian markets. Regarding the Value-at-Risk exercise, when forecasting the 1% VaR the RiskMetrics model does a poor job and is typically the worst performing model, again the APARCH model does well. However, forecasting the 5% VaR then the RiskMetrics model does provide an adequate performance. In short, the RiskMetrics model only performs well in forecasting the volatility of small emerging markets and for broader VaR measures.     

Are stock market crises contagious? The role of crisis definitions

Financial contagion studies generally examine whether co-movement between markets increases during a crisis. We use a flexible co-movement measure to examine how conclusions of such analyses depend on the sample chosen as the ‘crisis’. To this end, we analyse stock market co-movement during the 1997 Asian crisis and the 2007 global financial crisis for all possible source countries and for all possible time periods or extreme return quantiles. This way we account for the main crisis dating approaches adopted in the literature. Our results suggest there is no clear relationship between excess co-movement and commonly used crisis samples.     

Does an intertemporal tradeoff between risk and return explain mean reversion in stock prices?

When volatility feedback is taken into account, there is strong evidence of a positive tradeoff between stock market volatility and expected returns on a market portfolio. In this paper, we ask whether this intertemporal tradeoff between risk and return is responsible for the reported evidence of mean reversion in stock prices. There are two relevant findings. First, price movements not related to the effects of Markov-switching market volatility are largely unpredictable over long horizons. Second, time-varying parameter estimates of the long-horizon predictability of stock returns reject any systematic mean reversion in favour of behaviour implicit in the historical timing of the tradeoff between risk and return.     

Acquisitions driven by stock overvaluation: Are they good deals?

Theory and recent evidence suggest that overvalued firms can create value for shareholders if they exploit their overvaluation by using their stock as currency to purchase less overvalued firms. We challenge this idea and show that, in practice, overvalued acquirers significantly overpay for their targets. These acquisitions do not, in turn, lead to synergy gains. Moreover, these acquisitions seem to be concentrated among acquirers with the largest governance problems. CEO compensation, not shareholder value creation, appears to be the main motive behind acquisitions by overvalued acquirers.     

Are extreme returns priced in the stock market? European evidence

This paper revisits some recently found evidence in the literature on the cross-section of stock returns for a carefully constructed dataset of euro area stocks. First, we confirm recent results for US data and find evidence of a negative cross-sectional relation between extreme positive returns and average returns after controlling for characteristics such as momentum, book-to-market, size, liquidity and short term return reversal. We argue that this is the case because these stocks have lottery-like characteristics, which is attractive to certain investors. Also, these stocks tend to be very volatile so that arbitrageurs are discouraged from correcting potential mispricing. As a consequence, these stocks are often overpriced and hence face lower expected returns. Second, when we control for extreme returns, the recently found negative relationship between idiosyncratic risk and future returns is less robust. In our models, after adding maximum returns, the relationship is insignificant and sometimes even positive. We also find that idiosyncratic skewness and coskewness play an important role for asset pricing, as predicted by several theoretical models.     

Are directors’ dealings informative? Evidence from European stock markets

Are directors’ dealings reports informative for outside investors? We analyze short-term announcement effects for 2782 companies from eight European countries between January 2003 and December 2009. We find significant announcement effects in four out of eight countries after directors’ dealings reports have been disclosed. For most countries, the magnitude of the announcement effect depends on transaction size, firm size, book-to-market ratio, and multiple trades by different insiders on the same trading day. The results are stronger for purchases than for sales. For France, Ireland, and Sweden, we find tentative evidence that the corporate position of an insider is connected to the size of the announcement effect.