Downside risk and defaultable bond returns

This paper analyzes the influence of downside risk on defaultable bond returns. By introducing a defaultable bond-trading model, we show that the decline in market risk tolerance and information accuracy leads to trading loss under downside conditions. Our empirical analysis indicates that downside risk can explain a large proportion of the variation in yield spreads and contains almost all valid information on liquidity risk. As the credit level decreases, the explanatory power of downside risk increases significantly. We also investigate the predictive power of downside risk in cross-sectional defaultable bond excess returns using a portfolio-level analysis and Fama-MacBeth regressions. We find that downside risk is a strong and robust predictor for future bond returns. In addition, due to the higher proportion of abnormal transactions in the Chinese bond market, downside risk proxy semi-variance can better explain yield spreads and predict portfolio excess returns than the proxy value at risk.     

Revisiting dividend yield dynamics and returns predictability: Evidence from a time-varying ESTR model

Since the bubble of the late 1990s the dividend yield appears non-stationary indicating the breakdown of the equilibrium relationship between prices and dividends. Two lines of research have developed in order to explain this apparent breakdown. First, that the dividend yield is better characterised as a non-linear process and second, that it is subject to mean level shifts. This paper jointly models both of these characteristics by allowing non-linear reversion to a changing mean level. Results support stationarity of this model for eight international dividend yield series. This model is than applied to the forecast of monthly stock returns. Evidence supports our time-varying non-linear model over linear alternatives, particularly so on the basis of an out-of-sample R-squared measure and a trading rule exercise. More detailed examination of the trading rule measure suggests that investors could obtain positive returns, as the model forecasts do not imply excessive trading such that costs would not outweigh returns. Finally, the superior performance of the non-linear model largely arises from its ability to forecast negative returns, whereas linear models are unable to do.     

Cross-sectional implications of dynamic asset pricing with stochastic volatility and ambiguity aversion

Building on recent research that highlights the importance of macroeconomic volatility and ambiguity aversion in explaining the dynamics of stock returns, in this paper we propose a dynamic asset pricing model that simultaneously accounts for stochastic macroeconomic volatility and ambiguity, assuming that investors deal with uncertainty about the mechanics of macroeconomic fluctuations using first-release consumption and revisions to aggregate consumption on vintage data. Our results show that the proposed model captures a large fraction of the cross-sectional variation of excess returns for a wide range of market anomaly portfolios. Furthermore, while the price of risk for ambiguity is positive and significant for the vast majority of assets under study, macroeconomic volatility yields ambiguous outcomes, although it significantly increases the explanatory power of the model for specific assets. Our results suggest that macroeconomic volatility and ambiguity complement each other in explaining the cross-sectional behavior of stock returns.     

Currency news and international bond markets

We use a sample of 27 countries and 63 currency news announcements in an event study framework to examine the impact of currency news on international government bond markets. Our findings reveal a significant spillover of currency news into bond markets. Specifically, the evidence shows significant negative abnormal bond returns, whether measured in dollar terms or local currency terms, implying that currency news plays a role in changing the performance of international government bond markets. We also show that abnormal bond returns remain significantly negative even after controlling for macroeconomic variables. Our results are robust to using alternative risk model specifications, country-level data, and corporate bond data. Our evidence of the significant impact of currency news on bond markets provides essential insights to professional traders, policymakers, and academic researchers.     

Impact of uncertainty on high frequency response of the U.S. stock markets to the Fed's policy surprises

This paper examines the impact of uncertainty on estimated response of stock returns to U.S. monetary policy surprise. This is motivated by the Lucas island model which suggests an inverse relationship between the effectiveness of a policy and the level of uncertainty in the economy. Using high frequency daily data from the Federal funds futures market, we first estimate the response of S&P 500 stock returns to monetary policy surprises within the time varying parameter (TVP) model. We then analyze the relationship of these time varying estimates with the benchmark VIX index and alternative measures of uncertainty. Evidence suggests a significant negative relationship between the level of uncertainty and the time varying response of S&P 500 stock returns to unanticipated changes in the interest rate. Thus, at higher levels of uncertainty the impact of monetary policy shocks on stock markets is lower. The results are robust to different measures of uncertainty.     

International acquisitions in the united states: Evidence from returns to foreign bidders

This paper provides evidence on the minimally explored topic of abnormal returns earned by stockholders of foreign bidders seeking to acquire a target firm in the USA. Four sources of influence on abnormal returns are identified: changes in net wealth of the bidder associated with changes in exchange rates; possible value-destroying managerial discretionary behavior by bidders with excess cash flows, as suggested by Jensen; comparative advantages for foreign bidders domiciled in relatively favorable tax jurisdictions; ownership status of the target, i.e. whether the target is an entire firm and whether it involves divested assets. The study includes 77 firms from 10 countries. The results show that stockholders of foreign bidders earn significant, negative abnormal returns surrounding the announcement of an acquisition in the USA. These abnormal returns become increasingly negative over the 15 days after the announcement of the acquisition, indicating that more information about the acquisition is revealed to investors subsequent to the initial announcement. Cross-sectional regressions indicate that relative exchange rates and cash positions explain variation in abnormal returns. A decline in the value of the dollar increases abnormal returns for the foreign bidder, thus supporting the net wealth hypothesis. The results also show that cash-rich foreign firms tend to enjoy higher abnormal returns when making acquisitions in the USA. The result provides support for the Froot and Stein cash-constrained hypothesis rather than for Jensen's free-cash-flow theory.     

Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US

The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines dimensionality reduction, regime-switching models, and forecast combination to predict excess returns on the S&P 500. First, we aggregate the weekly information of 146 popular macroeconomic and financial variables using different principal component analysis techniques. Second, we estimate Markov-switching models with time-varying transition probabilities using the principal components as predictors. Third, we pool the models in forecast clusters to hedge against model risk and to evaluate the usefulness of different specifications. Our weekly forecasts respond to regime changes in a timely manner to participate in recoveries or to prevent losses. This is also reflected in an improvement of risk-adjusted performance measures as compared to several benchmarks. However, when considering stock market returns, our forecasts do not outperform common benchmarks. Nevertheless, they do add statistical and, in particular, economic value during recessions or in declining markets.     

Real estate illiquidity and returns: A time-varying regional perspective

This paper proposes two new measures of illiquidity for real estate markets, utilising concepts from asset pricing. Segregating real estate through a regional lens, we provide an in-depth analysis of real estate returns and illiquidity for the US and UK. Our results provide statistically significant and economically meaningful evidence that real estate illiquidity predicts real estate returns out-of-sample over and above a variety of control variables.     

IPO and Aftermarket Performance of Single‐Listed Chinese ADRs

This paper analyzes the post‐IPO and long‐run aftermarket performances of single‐listed Chinese ADRs during the 2004–2010 period. Single‐listed ADRs are traded daily in major exchanges in the United States, but their underlying shares are not traded in the issuer's home market. Our results show that over the short‐run, buy‐and‐hold abnormal returns of single‐listed Chinese ADRs following their IPO are not significantly different from the typical post‐IPO performance of stocks in U.S. exchanges, including that of traditional dual‐listed Chinese ADRs. Nevertheless, over the longer horizon, the excess returns of a portfolio composed solely of single‐listed Chinese ADRs outperform a portfolio of dual‐listed Chinese ADRs, but underperform a benchmark portfolio composed of U.S. firms matched on the basis of their IPO date. We also find that the portfolio formed solely of single‐listed Chinese ADRs exhibits significantly distinct loadings on the common portfolio factors from the portfolio formed of dual‐listed Chinese ADRs and from the benchmark portfolio of U.S. stocks.     

EVENT STUDY METHODS AND EVIDENCE ON THEIR PERFORMANCE

Abstract. The paper outlines widely used methods of estimating abnormal returns and testing their significance, highlights respects in which they differ conceptually, and reviews research comparing results they produce in various empirical contexts. Direct evidence on the performance of different methods is available from simulation experiments in which known levels of abnormal return are added. The market model is most commonly used to generate expected returns and no better alternative has yet been found despite the weak relationship between beta and actual returns. Choice of procedure for significance testing depends on the characteristics of the data. The evidence indicates that in many cases the best procedure is to standardise market model abnormal returns by their time series standard errors of regression and use the t -test. Alternatively a rank test appears to be at least as powerful. If errors are cross-correlated or increase in variance during the test period, other methods discussed should be used.     

Estimating the Precision of Information on Earnings and Non-earnings Announcement Days,and Its Relation with the Cost of Equity

ABSTRACT

Using daily stock returns, we estimate the precision of information during earnings and non-earnings announcement days, and find that although the precision of information in daily stock returns increases during earnings announcement days, it explains less of the variation in expected returns than the precision of information on non-earnings announcement days. Our findings suggest that the precision of earnings disclosures has a small effect on the cost of equity relative to the precision of information on other days of the year.     

SPACs: An overview and assessment of returns

Special purpose acquisition companies (SPACs) originated in the 1980s. A SPAC is a shell company formed by a sponsor to raise capital through a SPAC IPO to acquire or merge with an existing (target) private company. In a SPAC IPO, the units issued, consisting of (1) shares of common stock and (2) warrants, are typically priced at a nominal $10. Until 2022, SPAC IPOs were an increasingly popular alternative to traditional IPOs. We provide an overview of SPACs and an assessment of two measures of returns to SPACs, one is market-adjusted buy and holds abnormal returns, and the other is risk-adjusted abnormal returns by estimating a three-factor regression model. The return calculations are based on 299 SPAC completed mergers between January 2013 and December 2021. Our results indicate that the main driver in a series of regressions, including various explanatory variables in explaining deSPAC returns, is the extent of warrants issued in a SPAC IPO, and robustness checks confirm these results.     

欧洲股票市场的规模和动因:基于不同β系数的资本资产定价模型实证研究

我们选用在13个欧洲股市上市的证券,形成规模和动因组合。我们不仅发现规模溢价的证据,还发现8个样本市场存在重大动因收益率。这些收益率可能不构成异常现象,因为它们与不同β值的资本资产定价模型一致。我们还发现,系统风险与经济周期有关。此外,研究结果显示,虽然规模和动因收益率显著,但是难以在中、短期利用它们,因为在我们的样本中只有极少年份它们的数值为正且很大。     

Forecasting sales response for multiple time horizons and temporally aggregated data: A comparison of constant and stochastic coefficient models

Past research on time-varying sales-response models emphasized the application of different estimation techniques in examining variation in advertising effectiveness over time. This study focuses on comparing sales forecasts using constant and stochastic coefficients sales-response models. Selected constant and stochastic coefficient models are applied to six sets of bimonthly and one set of annual advertising and sales data to assess forecasting accuracy for time horizons of various lengths. Results show improved forecasting accuracy for a first-order autoregressive stochastic coefficient model, particularly in short-run forecasting applications.     

Observation-driven models for realized variances and overnight returns applied to Value-at-Risk and Expected Shortfall forecasting

We present a new model to decompose total daily return volatility into high-frequency-based open-to-close volatility and a time-varying scaling factor. We use score-driven dynamics based on fat-tailed distributions to obtain robust volatility dynamics. Applying our new model to a 2001–2018 sample of individual stocks and stock indices, we find substantial in-sample variation of the daytime-to-total volatility ratio over time. We apply the model to out-of-sample forecasting, evaluated in terms of Value-at-Risk and Expected Shortfall. Models with a non-constant volatility ratio typically perform best, particularly in terms of Value-at-Risk. Our new model performs especially well during turbulent times. All results are generally stronger for individual stocks than for index returns.     

Evolution of price effects after one-day abnormal returns in the US stock market

This paper provides a comprehensive analysis of price effects after one-day abnormal returns and their evolution in the US stock market, using Dow Jones Index over the period 1890–2018. We utilise several statistical tests and econometric methods (the modified cumulative abnormal return approach, regression analysis with dummy variables, R/S analysis (Hurst, 1951), and the trading simulation approach). The results suggest that a strong momentum effect between 1940 and 1980 after a day of positive abnormal returns was present in the US stock market, and it was exploitable for profit. However, after the 1980s this has since disappeared. Overall, price effects after one-day abnormal returns during the analysed period tend to be unstable in terms of their strength and direction (momentum or contrarian effect). Nowadays, the evidence for the price effects after one-day abnormal returns in the US stock market is weak. Our results, therefore, are consistent with the Adaptive Market Hypothesis (Lo, 2004).     

Conditional heteroskedasticity adjusted market model and an event study

Stock returns series generally exhibit time-varying volatility. Therefore, one can cast doubt on the way abnormal returns are calculated and consequently interpreted in traditional event studies. In this paper we apply a market model which accounts for GARCH effects leading to more efficient estimators. Using a sample of divestitures, we empirically investigate how this adjustment affects the magnitude of the abnormal returns associated with an event.     

Time-varying impact of monetary policy shocks on US stock returns: The role of investor sentiment

This paper investigates how monetary policy shock affects the stock market of the United States (US) conditional on states of investor sentiment. In this regard, we use a recently developed estimator that uses high-frequency surprises as a proxy for the structural monetary policy shocks, which in turn is achieved by integrating the current short-term rate surprises, which are least affected by an information effect, into a vector autoregressive (VAR) model as an exogenous variable. When allowing for time-varying model parameters, we find that, compared to the low investor sentiment regime, the negative reaction of stock returns to contractionary monetary policy shocks is stronger in the state associated with relatively higher investor sentiment. Our results are robust to alternative sample period (which excludes the zero lower bound) and model specification and also have important implications for academicians, investors, and policymakers.     

Demographics and the long-horizon returns of dividend-yield strategies

This paper investigates the relationship between demographic changes and the long-run returns of dividend-yield investment strategies. We hypothesise that in a world where components of wealth are mentally treated as being non-fungible, the preference for high dividend-paying stocks by older investors means that the excess returns of high dividend-yielding stocks, relative to other stocks, should be positively related to demographic clientele variation. In particular, we find that, consistent with the behavioural life-cycle hypothesis, long-run returns of dividend-yield investment strategies are positively driven by changes in the proportion of the older population. Our results are robust when controlled for the Fama–French factors, inflation rate, consumption growth rate, interest rates, tax clienteles, time trend and alternative definitions of both dividend-yield strategies and demographic variation.     

The impact of inventory dynamics on long-term stock returns – An empirical investigation of U.S. manufacturing companies

This paper investigates the relationship between the inventory dynamics and long-term stock returns of a large panel of U.S. manufacturing firms over the time period from 1991 to 2010. We propose two measures of inventory dynamics: one metric to assess the fluctuations of quarterly inventories within the year and a second metric to quantify relative year-over-year inventory growth. Our results indicate that within-year inventory volatility (IV) and abnormal year-over-year inventory growth (ABI) are associated with abnormal stock returns. Both metrics cannot be entirely explained by common risk factors. We find that firms with high IV and low ABI have the best long-term stock returns, and that stock performance decreases monotonically with higher ABI values. Our results are robust to various control variables including size, book-to-market value, industry and prior performance. We therefore conclude that changes in inventory levels provide valuable insights into the risks and opportunities faced by a company.