Firm age and realized idiosyncratic return volatility in China: The role of short-sales constraints

This paper investigates how realized idiosyncratic return volatility changes with firm age in the Chinese stock market. By employing a sample of 26,676 firm-year observations of 2798 A-share listed Chinese firms from 2001 to 2019, we find that realized idiosyncratic return volatility is negatively associated with firm age. Further, we find that loosening short-sales constraints strengthens this negative association, and that heterogeneity of investor beliefs is the most likely mechanism driving the negative relation, rather than the alternative explanations of cash flow volatility and growth options. Our results are fairly consistent under two different measures of firm age, and are robust to a choice of two multiple-factor models (the Fama-French three-factor and five-factor models) as well as two data frequencies (daily and monthly) used to estimate realized idiosyncratic return volatility.     

Uncertainty about average profitability and the diversification discount

The diversification discount (multiple segment firm value below the value imputed using single segment firm multiples) is commonly thought to be generated by agency problems, a lack of transparency, or lackluster future prospects for diversified firms. If multiple segment firms have lower uncertainty about mean profitability than single segment firms, rational learning about mean profitability provides an alternative explanation for the diversification discount that does not rely on suboptimal managerial decisions or a poor firm outlook. Empirical tests which examine changes in firm value across the business cycle and idiosyncratic volatility are consistent with lower uncertainty about mean profitability for multiple segment firms.     

Idiosyncratic Cash Flows and Systematic Risk

We show that unpriced cash flow shocks contain information about future priced risk. A positive idiosyncratic shock decreases the sensitivity of firm value to priced risk factors and simultaneously increases firm size and idiosyncratic risk. A simple model can therefore explain book‐to‐market and size anomalies, as well as the negative relation between idiosyncratic volatility and stock returns. Empirically, we find that anomalies are more pronounced for firms with high idiosyncratic cash flow volatility. More generally, our results imply that any economic variable correlated with the history of idiosyncratic shocks can help to explain expected stock returns.     

Determinants of idiosyncratic volatility: Evidence from the Indian stock market

This paper investigates whether firm-specific characteristics explain idiosyncratic volatility in the stocks of non-financial firms traded in the Indian stock market. It employs the linear time series five-factor model, augmented with a liquidity factor and the conditional EGARCH model, to extract yearly idiosyncratic volatility. We estimate a panel data regression to quantify the relationship between firm-specific characteristics and the volatility of individual securities. The results show that idiosyncratic volatility is significant in emerging markets such as India, and that cross-sectional return variations of firms are associated with firm-specific characteristics such as firm size, book-to-market ratio, momentum, liquidity, cash flow-to-price ratio, and returns on assets. We find that the idiosyncratic risk documented in this study is associated with smaller size of company, higher liquidity, low momentum, high book-to-market ratio, and low cash flow-to-price ratio. The findings suggest need to develop alternative tools to make investment decisions in emerging markets.     

EXPECTED VOLATILITY,UNEXPECTED VOLATILITY,AND THE CROSS‐SECTION OF STOCK RETURNS

The existing literature finds conflicting results on the cross‐sectional relation between expected returns and idiosyncratic volatility. We contend that at the firm level, the sample correlation between unexpected returns and expected idiosyncratic volatility can cloud the true relation between the expected return and expected idiosyncratic volatility. We show strong evidence that unexpected idiosyncratic volatility is positively related to unexpected returns. Using unexpected idiosyncratic volatility to control for unexpected returns, we find expected idiosyncratic volatility to be significantly and positively related to expected returns. This result holds after controlling for various firm characteristics, and it is robust across different sample periods.     

Corporate social responsibility performance,financial distress and firm life cycle: evidence from Australia

This study examines the association between corporate social responsibility (CSR) performance and financial distress and additionally the moderating impact of firm life cycle stages on that association. Based on a sample of 651 publicly listed Australian firm‐years’ data covering the 2007–2013 period, our regression results show that positive CSR activity significantly reduces financial distress of the firm. In addition, the negative association between positive CSR performance and financial distress is more pronounced for firms in mature life cycle stages. Our results are robust to alternative proxy measures of financial distress, CSR performance and life cycle stages.     

Fundamentals or Managerial Discretion? The Relationship between Accrual Variability and Future Stock Return Volatility

This study extends the theoretical framework of Callen and Segal (2004) and Vuolteenaho (2002) to investigate the association between accrual variability and firm‐level stock return volatility. The empirical evidence supports our prediction that increased uncertainty in current‐period accounting accruals is associated with significantly higher volatility of future stock returns, and the results are valid for measures of both systematic and idiosyncratic volatility. When accrual variability is decomposed into fundamental and discretionary portions, we find that the positive relationship between accrual variability and future stock return volatility is dominated by the fundamental component of accrual variability. Overall, our results suggest that uncertainty reflected in accrual information is subsequently reflected in the fluctuation of future stock returns, and that the predictive content in accruals primarily reflects firms' fundamental uncertainty, rather than any effects of managerial choices and interventions in the accounting process.     

Trend in aggregate idiosyncratic volatility

We suggest that price interaction among stocks is an important determinant of idiosyncratic volatility. We demonstrate that as more (less) stocks are listed in the markets, price interaction among stocks increases (decreases), and hence stocks, on average, become more (less) volatile. Our results show that price interaction has a significant positive effect of idiosyncratic volatility. The results of various robustness checks indicate that the effect of price interaction is still significant to the presence of liquidity, newly listed firms, cash flow variables, business cycle variables, and market volatility. Once the price interaction effect is taken into account, no trend remains in idiosyncratic volatility. We conclude that there is no trend, but a reflection of the positive effect of price interaction on idiosyncratic volatility.     

The MAX effect: European evidence

The maximum daily return over the previous month (MAX) of Bali et al. (2011) is a strong and significant predictor of future stock returns in non-U.S. equity markets. Once it is controlled for MAX in the cross-section of average returns, the puzzling negative idiosyncratic volatility-return relation disappears. Consistent with the assumption that MAX is the true effect, for which idiosyncratic volatility is just a proxy, we find that MAX can be traced back to firm fundamentals in the manner of idiosyncratic volatility. The negative MAX-return relation is stronger among firms with high cash flow volatility and weaker among firms with high profitability.     

Consumption Volatility Risk

We show that time variation in macroeconomic uncertainty affects asset prices. Consumption volatility is a negatively priced source of risk for a wide variety of test portfolios. At the firm level, exposure to consumption volatility risk predicts future returns, generating a spread across quintile portfolios in excess of 7% annually. This premium is explained by cross‐sectional differences in the sensitivity of dividend volatility to consumption volatility. Stocks with volatile cash flows in uncertain aggregate times require higher expected returns.     

CEO's managerial power,board committee memberships and idiosyncratic volatility

Based on Upper Echelons Theory and Agency Theory, we explore the effect of CEOs' power through their tenure, board committee membership and other corporate governance factors on idiosyncratic volatility. Our study addresses the gap in the literature to find the direct link between the source of corporate governance practices and idiosyncratic volatility in stock price. We use a generalised method of moments in a panel analysis of Australian firms for 2004–2013 and a robust model that controls for firm size, firm age, trading volume, market-to-book ratio, dividend payout, the global financial crisis, product market competition and financial intermediaries. We find that CEOs who have stronger managerial power are associated with lower idiosyncratic volatility. This determining factor remains significant with the inclusion of widely-researched firm characteristics and external factors on idiosyncratic volatility in our robust analysis.     

Idiosyncratic volatility,fundamentals, and institutional herding: Evidence from the Japanese stock market

Using Japanese data from 1975 to 2003, we show that both institutional herding and firm earnings are positively related to idiosyncratic volatility. We reject the hypothesis that institutional investors herd toward stocks with high idiosyncratic volatility and systematic risk. Our results suggest that a behavior story may explain the negative premium earned by high idiosyncratic volatility stocks found by Ang et al. [Ang, Andrew, Hodrick, Robert J., Yuhang Xing, Xiaoyan Zhang, 2004. The cross-section of volatility and expected returns, Forthcoming Journal of Finance]. We also find that the dispersions of change in institutional ownership and return-on-asset move together with the market aggregate idiosyncratic volatility over time. Our results suggest that investor behavior and stock fundamentals may both help explain the time-series pattern of market aggregate idiosyncratic volatility.     

Financial reporting quality and idiosyncratic return volatility

Campbell et al. (2001) document that firms’ stock returns have become more volatile in the U.S. since 1960. We hypothesize and find that deteriorating earnings quality is associated with higher idiosyncratic return volatility over 1962–2001. These results are robust to controlling for (i) inter-temporal changes in the disclosure of value-relevant information, sophistication of investors and the possibility that earnings quality can be informative about future cash flows; (ii) stock return performance, cash flow operating performance, cash flow variability, growth, leverage and firm size; and (iii) new listings, high-technology firms, firm-years with losses, mergers and acquisitions and financial distress.     

Additional evidence on transparency and bank financial performance

This paper examines the relationship between volatility and the probability of occurrence of expected extreme returns in the Canadian market. Four measures of volatility are examined: implied volatility from firm option prices, conditional volatility calculated using an EGARCH model, idiosyncratic volatility, and expected shortfall. A significantly positive relationship is observed between a firm's idiosyncratic volatility and the probability of occurrence of an extreme return in the subsequent month for firms. A 10% increase in idiosyncratic volatility in a given month is associated with the probability of an extreme shock in the subsequent month (top or bottom 1.5% of the returns distribution) of 26.4%. Other firm characteristics, including firm age, price, volume and book‐to‐market ratio, are also shown to be significantly related to subsequent firm extreme returns. The effects of conditional and implied volatility are mixed. The E‐GARCH and expected shortfall measures of conditional volatility are consistent with mean reversion: high short term realizations of conditional volatility foreshadow a lower probability of extreme returns.     

The Determinants of Stock Price Exposure: Financial Engineering and the Gold Mining Industry

This paper studies the exposure of North American gold mining firms to changes in the price of gold. The average mining stock moves 2 percent for each 1 percent change in gold prices, but exposures vary considerably over time and across firms. As predicted by valuation models, gold firm exposures are significantly negatively related to the firm's hedging and diversification activities and to gold prices and gold return volatility, and are positively related to firm leverage. Simple discounted cash flow models produce useful exposure predictions but they systematically overestimate exposures, possibly due to their failure to reflect managerial flexibility.     

The taxman cometh: Does tax uncertainty affect corporate cash holdings?

We examine whether firms hold more cash in the face of tax uncertainty. Because of gray areas in the tax law and aggressive tax avoidance, the total amount of tax that a firm will pay is uncertain at the time it files its returns. The tax authorities can challenge and disallow the firm’s tax positions, demanding additional cash tax payments. We hypothesize that firms facing greater tax uncertainty hold cash to satisfy these potential future demands. We find that both domestic firms and multinational firms hold larger cash balances when subject to greater tax uncertainty. In terms of economic significance, we find that the effect of tax uncertainty on cash holdings is comparable to that of repatriation taxes. Our evidence adds to knowledge about the real effects of tax avoidance and provides a tax-based precautionary explanation for why there is such wide variation in cash holdings across firms.     

The impact of macroeconomic uncertainty on non-financial firms' demand for liquidity

This paper empirically investigates whether changes in macroeconomic volatility affect the efficient allocation of non-financial firms' liquid assets. We argue that higher uncertainty will hamper managers' ability to accurately predict firm-specific information and induce them to implement similar cash management policies. Contrarily, when the macroeconomic environment becomes more tranquil, each manager will have the latitude to behave more idiosyncratically as she can adjust liquid assets based on the specific requirements of the firm, bringing about a more efficient allocation of liquid assets. Our empirical analysis provides support for these predictions.     

Explaining the idiosyncratic volatility puzzle using Stochastic Discount Factors

I use Stochastic Discount Factors to examine the sources of the idiosyncratic volatility premium. I find that non-zero risk aversion and firms’ non-systematic coskewness determine the premium on idiosyncratic volatility risk. The firm’s non-systematic coskewness measures the comovement of the asset’s volatility with the market return. When I control for the non-systematic coskewness factor, I find no significant relation between idiosyncratic volatility and stock expected returns. My results are robust across different sample periods and firm characteristics.     

The Dynamic Relation Between Returns and Idiosyncratic Volatility

We claim that regressing excess returns on one-lagged volatility provides only a limited picture of the dynamic effect of idiosyncratic risk, which tends to be persistent over time. By correcting for the serial correlation in idiosyncratic volatility, we find that idiosyncratic volatility has a significant positive effect. This finding seems robusrt for various firm size portfolios, sample periods, and measures of idiosyncratic risk. Our findings suggest stock markets mis-price idiosyncratic risk. There may be some measurement problems with idiosyncratic risk. There may be some measurement problems with idiosyncratic risk that could be related to nondiversifiable risk.     

Performance volatility,information availability,and disclosure reforms

Using the 2002 Sarbanes–Oxley reform as an exogenous disclosure shock, we find that high, relative to low, volatility firms opt for lower levels of information availability pre reform and experience increases in information availability, CEO turnover-to-performance sensitivity, myopic behavior, CEO compensation with a structure tilted towards more cash pay, and a reduction in firm value post the reform. Our findings suggest that mandating high levels of information availability across the board increases managerial evaluation risk and produces additional agency costs for firms with volatile performance.