An Investigation of the Short‐Run and Long‐Run Stock Returns Surrounding Insurer Rating Changes

We find that stock returns move in the direction of insurer rating changes in the 12‐month period prior to the announcement. There is an additional stock price response following the announcement of a downgrade, but no response to upgrade announcements. The reaction to a downgrade is more pronounced when it involves a smaller insurer, when it spans multiple levels, or when it is a threshold downgrade. Returns are significantly more negative during the 12 months leading up to a downgrade announcement during the financial crisis (2008 and 2009) compared to other sample years.     

Long‐Run Stockholder Consumption Risk and Asset Returns

We provide new evidence on the success of long‐run risks in asset pricing by focusing on the risks borne by stockholders. Exploiting microlevel household consumption data, we show that long‐run stockholder consumption risk better captures cross‐sectional variation in average asset returns than aggregate or nonstockholder consumption risk, and implies more plausible risk aversion estimates. We find that risk aversion around 10 can match observed risk premia for the wealthiest stockholders across sets of test assets that include the 25 Fama and French portfolios, the market portfolio, bond portfolios, and the entire cross‐section of stocks.     

Information Quality and Long‐Run Risk: Asset Pricing Implications

I study the asset pricing implications of the quality of public information about persistent productivity shocks in a general equilibrium model with Kreps–Porteus preferences. Low information quality is associated with a high equity premium, a low volatility of consumption growth, and a low volatility of the risk‐free interest rate. The relationship between information quality and the equity premium differs from that in endowment economies. My calibration improves substantially upon the Bansal–Yaron model in terms of the moments of the wealth–consumption ratio and the return on aggregate wealth.     

Aggregate Jump and Volatility Risk in the Cross‐Section of Stock Returns

We examine the pricing of both aggregate jump and volatility risk in the cross‐section of stock returns by constructing investable option trading strategies that load on one factor but are orthogonal to the other. Both aggregate jump and volatility risk help explain variation in expected returns. Consistent with theory, stocks with high sensitivities to jump and volatility risk have low expected returns. Both can be measured separately and are important economically, with a two‐standard‐deviation increase in jump (volatility) factor loadings associated with a 3.5% to 5.1% (2.7% to 2.9%) drop in expected annual stock returns.     

Volatility Risk Premium,Risk Aversion,and the Cross‐Section of Stock Returns

We test if innovations in investor risk aversion are a priced factor in the stock market. Using 25 portfolios sorted on book‐to‐market and size as test assets, our new factor together with the market factor explains 64% of the variation in average returns compared to 60% for the Fama‐French model. The new factor is generally significant with an estimated risk premium close to its time series mean also when industry portfolios and portfolios sorted on previous returns are augmented to the test assets.     

Distinguishing Between Rationales for Short‐Horizon Predictability of Stock Returns

In this paper, we shed light on short‐horizon return reversals. We show theoretically that a risk‐based rationale for reversals implies a relation between returns and past order flow, whereas a reversion in beliefs of biased agents does not do so. The empirical results indicate that returns are more strongly related to own‐return lags than to lagged order imbalances. Thus, the evidence suggests that monthly reversals are not completely captured by inventory effects and may be driven, in part, by belief reversion. We do find that returns are cross‐sectionally related to lagged imbalance innovations at horizons longer than a month.     

Agency Costs and the Short‐Run Stock Price Response to Capital Expenditures

We estimate the short‐run stock price response to unanticipated capital expenditures. We use association study methodology to avoid the self‐selection bias in event studies and to facilitate construction of a large sample of firm‐years likely to exhibit agency problems. We find that the average price response to routine capital expenditures is negative, and that commonly used agency cost measures explain fully the negative response. Subsample results support the conclusion that the market is skeptical of cash flow financed spending by low‐q firms and even capital spending by high‐q firms when the firm is large and q is only marginally high.     

Time Variations and Covariations in the Expectation and Volatility of Stock Market Returns

This article investigates empirically the comovements of the conditional mean and volatility of stock returns. It extends the results in the literature by demonstrating the role of the commercial paper—Treasury yield spread in predicting time variation in volatility. The conditional mean and volatility exhibit an asymmetric relation, which contrasts with the contemporaneous relation that has been tested previously. The volatility leads the expected return, and this time series relation is documented using offset correlations, short-horizon contemporaneous correlations, and a vector autoregression. These results bring into question the value of modeling expected returns as a constant function of conditional volatility.     

Characterizing the Risk of IPO Long‐Run Returns: The Impact of Momentum,Liquidity, Skewness,and Investment

We study 6,686 initial public offerings (IPOs) spanning the period 1981‐2005 and find that the new issues puzzle disappears in a Fama‐French three‐factor framework. IPOs do not underperform in the aftermarket on a risk‐adjusted basis and do not underperform a matched sample of nonissuers. IPO underperformance is concentrated in the 1980s and early 1990s, and IPOs either perform the same as the market or outperform on a risk‐adjusted basis from 1998 to 2005. We find that outperformance in the later period is driven by large firms. Factors for momentum, investment, liquidity, and skewness help to explain aftermarket returns, although size and book‐to‐market tend to proxy for skewness. IPO investors receive smaller expected returns due to negative momentum and investment exposure and in exchange for higher liquidity.     

Long‐Run Stock Performance and Its Determinants for Asset Buyers

This paper examines the long‐term stock performance of asset purchasers and the determinants of cross‐sectional differences in performance. Our findings show that buyers’ stocks, on average, underperform following purchases. Buy‐and‐hold abnormal returns of buyers acquiring related assets are significantly higher than those acquiring unrelated assets, consistent with the focus hypothesis. Asset buyers with superior prior stock performance experience poorer long‐run performance than buyers with inferior prior stock performance, consistent with the prior performance hypothesis. Asset buyers that manage earnings upward, experience poorer long‐term abnormal stock performance than acquirers with downward earnings management, consistent with the earnings management hypothesis. The long‐term return evidence is to some degree consistent with the governance hypothesis but we find little support for the free cash flow hypothesis.     

Book–to–Market Equity, Distress Risk, and Stock Returns

This paper examines the relationship between book–to–market equity, distress risk, and stock returns. Among firms with the highest distress risk as proxied by Ohlson's (1980) O–score, the difference in returns between high and low book–to–market securities is more than twice as large as that in other firms. This large return differential cannot be explained by the three–factor model or by differences in economic fundamentals. Consistent with mispricing arguments, firms with high distress risk exhibit the largest return reversals around earnings announcements, and the book–to–market effect is largest in small firms with low analyst coverage.     

Market Risk,Interest Rate Risk,and Interdependencies in Insurer Stock Returns: A System‐GARCH Model

We examine market risk, interest rate risk, and interdependencies in returns and return volatilities across three insurer segments within a System‐GARCH framework. Three main results are obtained: market risk is greatest for accident and health (A&H) insurers, followed by life (Life) and property and casualty (P&C) insurers; interest rate sensitivity is negative and greatest for Life insurers; and interdependencies in returns are significant with the magnitude being strongest between P&C and A&H insurers. The implication is that greatest diversification benefits arise between Life and the other segments of the insurance industry. Market risk and interest rate risk for diversified firms are smaller than those for nondiversified firms for both product and geographic diversification.     

News Arrival, Jump Dynamics, and Volatility Components for Individual Stock Returns

This paper models components of the return distribution, which are assumed to be directed by a latent news process. The conditional variance of returns is a combination of jumps and smoothly changing components. A heterogeneous Poisson process with a time‐varying conditional intensity parameter governs the likelihood of jumps. Unlike typical jump models with stochastic volatility, previous realizations of both jump and normal innovations can feed back asymmetrically into expected volatility. This model improves forecasts of volatility, particularly after large changes in stock returns. We provide empirical evidence of the impact and feedback effects of jump versus normal return innovations, leverage effects, and the time‐series dynamics of jump clustering.     

Stock Liquidity Risk and the Cross‐sectional Earnings‐Returns Relationship

We argue that a higher sensitivity to aggregate market‐wide liquidity shocks (i.e., a higher liquidity risk) implies a tendency for a stock's price to converge to fundamentals. We test this intuition within the framework of the earnings‐returns relationship. We find a positive liquidity risk effect on the relationship between return and expected change in earnings. This effect on the earnings‐returns relationship is distinct from the negative effect observed for stock illiquidity level. Notably, the liquidity risk effect is evident (absent) during periods of neutral/low (high) aggregate market liquidity. We also show that the liquidity risk effect is dominant in firms that: (a) are of intermediate size; (b) are of intermediate book‐to‐market; and (c) are profit making.     

Idiosyncratic Volatility Covariance and Expected Stock Returns

Given that the idiosyncratic volatility (IDVOL) of individual stocks co‐varies, we develop a model to determine how aggregate idiosyncratic volatility (AIV) may affect the volatility of a portfolio with a finite number of stocks. In portfolio and cross‐sectional tests, we find that stocks whose returns are more correlated with AIV innovations have lower returns than those that are less correlated with AIV innovations. These results are robust to controlling for the stock's own IDVOL and market volatility. We conclude that risk‐averse investors pay a premium for stocks that pay well when AIV is high, consistent with our model.     

Higher Order Effects in Asset Pricing Models with Long‐Run Risks

This paper shows that the latest generation of asset pricing models with long‐run risk exhibit economically significant nonlinearities, and thus the ubiquitous Campbell‐Shiller log‐linearization can generate large numerical errors. These errors translate in turn to considerable errors in the model predictions, for example, for the magnitude of the equity premium or return predictability. We demonstrate that these nonlinearities arise from the presence of multiple highly persistent processes, which cause the exogenous states to attain values far away from their long‐run means with nonnegligible probability. These extreme values have a significant impact on asset price dynamics.     

The Pricing of Interest-Rate Risk: Evidence from the Stock Market

This paper addresses the issue of whether firms are required to pay an ex ante premium to investors for bearing the risk of interest-rate changes. A two-factor APT model with the market and changes in the yield on long-term government bonds as factors is employed. The paper shows that, empirically, most of the interest-sensitive stocks are in the utility industries, and that there is reasonable evidence that the interest factor is priced in the sense of the APT. Several sources for the interest sensitivity are considered, and regulatory lags are focused on as a likely candidate.     

Stock Returns and Volatility under Market Segmentation: The Case of Chinese A and B Shares

In most countries where firms list separate shares for trading by foreign and domestic investors, the prices of the foreign shares tend to be higher. In China, the reverse tends to be true. In this paper, we would like to focus on the information content in lagged premiums of Chinese A over B traded shares. The lagged premiums are found to have certain predictive power over the future returns and volatility of both A and B shares, with some interesting patterns. Specifically, an increase in the premium ratio of A shares will be followed by a rise in the return of A shares and a fall in the return of B shares. It is found that both of the investors in Chinese A- and B-share markets reveal positive feedback trading behavior. Moreover, the liquidity and information availability will affect the magnitude of such behavior especially in B-share markets. By using multivariate GARCH model, it is also demonstrated that the unexpected changes in the premium ratio of A-share price over B-share price contribute to the return volatility of both A shares and B shares. These patterns may provide foundations for the development of pricing models for equity shares under market segmentation.     

基本养老保险基金投资、股票收益率与股价波动性

以2017—2022年各季度基本养老保险基金投资数据为样本,考察基本养老保险基金投资对股票收益率与股价波动性的影响。结果显示：基本养老保险基金持股比例变化对股票未来收益率有一定预测效应,持股比例增加会加剧股价波动。异质性检验表明,被持股公司规模越大,持股比例变化对股票收益率的影响越不明显,对股价波动性影响的时滞性越强。对于短期持股而言,持股比例增加会加剧股价波动,而对于长期持股而言,持股比例增加有利于稳定股价。鉴于此,应继续推动基本养老保险基金全国统筹,进一步扩大其市场化投资规模、延长投资考核期限,提升基金可持续发展能力。