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.     

Impact of fiscal stimulus on volatility: A cross-country analysis

This study investigates the short-to-medium-term impact of Covid-19-related fiscal stimulus relief packages on reducing investor uncertainty expectations in eight major economies. We use three measures of volatility to assess investor uncertainty: implied volatility, volatility index, and realized kernel volatility of ETFs in each country. The data covers a three-year period from January 2019 to December 2021. Our findings indicate an increase in all three measures of volatility in the post-Covid to pre-stimulus period, which decreases after the announcement of the stimulus packages. The results show that, on average, the stimulus announcements alleviate investor uncertainty and facilitate economic recovery. However, the effectiveness of the stimulus packages varies across countries but not across sectors. Our results remain robust to several checks, including alternate econometric specifications, such as the Arellano-Blundell-Bond estimation for dynamic panel data.     

Idiosyncratic volatility and equity returns: UK evidence

The proposition that idiosyncratic volatility may matter in asset pricing is currently a topic of research and controversy. Using data from the UK market we examine the predictive ability of various measures of idiosyncratic risk and provide evidence which suggests that: (a) it is the idiosyncratic volatility of small capitalization stocks that matters for asset pricing and (b) that small stocks idiosyncratic volatility predicts the small capitalization premium component of market returns and is unrelated to either the market or the value premium. The predictive power of the aggregate idiosyncratic volatility of small stocks remains intact even after we control for the possible proxying effects of business cycle fluctuations and liquidity and is robust across time and different econometric specifications.     

Idiosyncratic volatility and the pricing of poorly-diversified portfolios

This article examines the role of idiosyncratic volatility in explaining the cross-sectional variation of size- and value-sorted portfolio returns. We show that the premium for bearing idiosyncratic volatility varies inversely with the number of stocks included in the portfolios. This conclusion is robust within various multifactor models based on size, value, past performance, liquidity and total volatility and also holds within an ICAPM specification of the risk–return relationship. Our findings thus indicate that investors demand an additional return for bearing the idiosyncratic volatility of poorly-diversified portfolios.     

Idiosyncratic volatility puzzle: influence of macro-finance factors

Review of Quantitative Finance and Accounting - We analyze the cross-sectional relation between expected idiosyncratic volatility and stock returns. The expected idiosyncratic volatility is...     

Idiosyncratic volatility and cash flow volatility: New evidence from S&P 500

Employing firm-level data of S&P 500 constituent companies from 1990 to 2016, we offer new evidence on the strong time series and cross-sectional relationships between Idiosyncratic stock return volatility (Ivol) and cash flow volatility even after controlling for illiquidity and firm size, which also vary by period of economic condition. Our results show that Ivol is well explained by the volatility of the three components of DuPont ROE. Aggregate asset turnover volatility alone explains 81.8% of the time series variation of aggregate Ivol, and all independent variables explain 94.7% of the aggregate Ivol. While profit margin volatility and asset turnover volatility have significant relationships with Ivol during the sample period, the volatility of equity multiplier shows significance during the two recession periods in early and late 2000s.     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

Risk transmission between Islamic and conventional stock markets: A return and volatility spillover analysis

This paper contributes to the current debate on the empirical validity of the decoupling hypothesis of the Islamic stock market from its mainstream counterparts by examining return and volatility spillovers across the global Islamic stock market, three main conventional national stock markets (the US, the UK and Japan) and a number of influential macroeconomic and financial variables over the period from July 1996 to June 2016. To that end, the VAR-based spillover index approach based on the generalized VAR framework developed by Diebold and Yilmaz (2012) is applied. The empirical analysis shows strong interactions in return and volatility among the global Islamic stock market, the conventional stock markets and the set of major risk factors considered. This finding means that the Islamic equity universe does not constitute a viable alternative for investors who wish to hedge their investments against the vagaries of stock markets, but it is exposed to the same global factors and risks hitting the conventional financial system. Therefore, this evidence leads to the rejection of the decoupling hypothesis of the Islamic stock market from conventional stock markets, which has significant implications for faith-based investors and policy makers in terms of portfolio diversification, hedging strategies and contagion risk.     

Cash cycle: A cross-country analysis

We study the cross-country differences in the cash cycles of companies and find a negative relation between a country's development and the cash cycles of its corporations. The ability of companies to obtain raw materials on credit and to better manage inventory plays significant roles in shortening the cash cycle. Various country-specific factors affect cash cycles. Firms with shorter cash cycles invest more in R&D and participate in more acquisitions. They also have a higher valuation and lower leverage. Overall, our findings indicate a close relation between a company's working capital management, its valuation, and the country's level of development.     

Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis

This article examines the co-movement relationship among representative cryptocurrencies from the perspectives of returns and volatility. Wavelet coherence and the correlation network are introduced to explore the interdependence of cryptocurrencies, and then risk reduction and downside risk reduction are used to test the hedging effects of Bitcoin on others at different time frequencies. The empirical results provide evidence of co-movement and hedging effects. Additionally, positive correlations between Bitcoin and other cryptocurrencies exist on short-to-medium investment horizons. Moreover, both Bitcoin's returns and its volatility are ahead of other cryptocurrencies at low frequencies. In addition, a hedging effect across Bitcoin against other cryptocurrencies is more obvious in the long run. Furthermore, Bitcoin has hedging effects on other cryptocurrencies according to time-frequency horizons.     

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.     

A theory of growth and volatility at the aggregate and firm level

We present an endogenous growth model that explains the evolution of the first and second moments of productivity growth at the aggregate and firm level during the post-war period. Growth is driven by the development of both (i) idiosyncratic R&D innovations and (ii) general innovations that can be freely adopted by many firms. Firm-level volatility is affected primarily by the Schumpeterian dynamics associated with the development of R&D innovations. The variance of aggregate productivity growth is driven by the arrival rate of general innovations. Ceteris paribus, the share of resources spent on development of general innovations increases with the stability of the market share of the industry leader. As market shares become less persistent, the model predicts an endogenous shift in the allocation of resources from the development of general innovations to the development of R&D innovations. This results in an increase in R&D, an increase in firm-level volatility, and a decline in aggregate volatility. The effect on productivity growth is ambiguous.On the empirical side, this paper presents new cross-country evidence that R&D subsidies are not significantly associated with higher growth but are associated with lower aggregate volatility. It also documents an upward trend in the instability of market shares, a positive association between firm volatility and R&D spending, and a negative association across sectors between R&D and how correlated the sector is with the rest of the economy.     

A multivariate nonparametric test for return and volatility timing

This paper develops a novel approach to simultaneously test for market timing in stock index returns and volatility. The tests are based on the estimation of a system of regression equations with indicator variables and provide detailed information about the statistical significance of alternative market timing components.     

Insider trading and firm-specific return volatility

Roll (J Financ 43:541–566, 1988) argues that firm-specific stock return volatility may result either from informed trading or from noise trading that is unrelated to information. In this paper we provide evidence that insider purchases are inversely related to the idiosyncratic volatility of stocks. We also find that stock idiosyncratic volatilities are generally inversely related to future 6- and 12-month returns. Our results are primarily driven by the timing of insider sales rather than insider purchases. The results are consistent with an information-based explanation of firm-specific return volatility.     

Macroeconomic fundamentals,jump dynamics and expected volatility

In this paper, we develop a new volatility model capturing the effects of macroeconomic variables and jump dynamics on the stock volatility. The proposed GARCH-Jump-MIDAS model is applied to the S&P 500 index. Our in-sample results indicate that macroeconomic activities have important impacts on aggregate market volatility. Out-of-sample evidence suggests that our model with macroeconomic variables significantly outperform a wide range of competitors including the original GARCH(1,1), GARCH-MIDAS and GJR-A-MIDAS models. The volatility timing results also show that the information from jumps and macroeconomic activity is helpful for improving the portfolio performance.     

Dynamic risk, accounting-based valuation and firm fundamentals

This study extends the accounting-based valuation framework of Ohlson (Contemp Acc Res 11(2):661–687, 1995) and Feltham and Ohlson (Acc Rev 74(2):165–183, 1999) to incorporate dynamic expectations about the level of systematic risk in the economy. Our model explains recent empirical findings documenting a strong negative association between changes in economy-wide risk and future stock returns. Importantly, the model also generates costs of capital that are solely a linear function of accounting variables and other firm fundamentals, including the book-to-market ratio, the earnings-to-price ratio, the forward earnings-to-price ratio, size and the dividend yield. This result provides a theoretical rationale for the inclusion of these popular variables in cost of capital (expected return) computations by the accounting and finance literatures and obviates the need to estimate costs of capital from unobservable (future) covariances. The model also generates an accounting return decomposition in the spirit of Vuolteenaho (J Finance 57(1):233–264, 2002). Empirically, we find that costs of capital generated by our model are significantly associated with future returns both in and out of sample in contrast to standard benchmark models. We further obtain significantly lower valuation errors in out-of-sample tests than traditional models that ignore dynamic risk expectations.     

Toxic chemical releases and idiosyncratic return volatility: A prospect theory perspective

We investigated whether and how firms’ toxic chemical releases (TCRs) affect idiosyncratic return volatility (IRV) using a prospect theory lens. Utilising a large sample of US public listed firms over the period 2001–2018, we find a significant and positive association between TCRs and IRV, suggesting that firms releasing more toxic chemicals have higher IRV. Additional analyses show that a positive association between TCR and IRV is more evident among firms with (i) high revenue, (ii) lower financial constraints and (iii) fewer environmental violations. A further test also suggests that a positive association between TCRs and IRV is contingent on political leadership ideology and market states. Our results remain consistent with weighted TCRs, IRV based on the Fama–French three-factor model, fixed-effect two-stage least square estimator (FE-2SLS), and other robustness checks. These findings shed light on the role of equity markets as a driver for capital-intensive pollution abatement activities and enhanced compliance with environmental laws, standards and best practices.     

Religion and venture investing: A cross-country analysis

Using a sample of 56 countries over the 2000–2016 period, we document lower levels of venture capital investments in more religious countries. These results are not specific to any primary religion. Furthermore, we show that the negative relation between religiosity and venture investing mainly stems from risk aversion inherent in religiosity. Our results are unlikely driven by economic clout, as we show more religious countries in fact have higher levels of domestic credit or nonfinancial investments, despite lower levels of venture investments. We also present several findings consistent with risk aversion. Venture investments in more religious countries are more likely to have successful exits and are less likely to be foreign or early-stage deals. Our results are robust to different measures of venture investments and religiosity, and to alternative specifications that account for endogeneity.     

A note on the impact of options on stock return volatility

This paper measures the impact of option introductions on the return variance of underlying stocks. Past research generally finds a significant reduction in stock return variance following the listing of options through 1986. Using a more extensive sample, I compare changes in the return variance of optioned stocks to changes in the return variance of a control group. Since the average change in the control group is statistically indistinguishable from the average change in the optioned stocks, I conclude that option introductions do not significantly affect stock return variance.