Corporate debt and unconventional monetary policy: The risk-taking channel with bond and loan contracts

We investigate the effects of unconventional monetary policies on corporate debt through the risk-taking channel using corporate bond and syndicated loan contracts from 2000 to 2016 in Japan. In this period, the policy rate remained fixed near the zero bound. Using the daily changes in the yield curve on monetary policy meeting days, we identify one call rate shock and two unconventional monetary policy shocks that do not affect short-term rates. We find that QE shocks, which move all medium-to-long-term rates, increase the maturity of debt contracts, especially for syndicated loans. In addition, such QE shocks decrease the size of corporate bonds with short maturity. On the other hand, QQE shocks, which raise medium-term rates and lower long-term rates, decrease the size of loans and corporate bonds with longer maturity. These effects imply the existence of the risk-taking channel of unconventional monetary policy: it stimulates investment in longer-maturity assets and decreases investment in assets with lower yields. Our findings show that unconventional policies affect debt contracts even in an extremely low interest rate environment.     

Financial crises,unconventional monetary policy exit strategies,and agents׳ expectations

A central bank may purchase assets during a financial crisis and then exit from those purchases. Agents have rational expectations about financial crises as rare events, the probability the central bank purchases assets, and the exit strategy. Selling off assets quickly produces a double-dip recession while slowly unwinding generates a smooth recovery. Expectations about the exit strategy influence the initial effectiveness of purchases. Increasing the probability of purchases during crises distorts the pre-crisis economy and depends upon the exit strategy. The welfare benefits of unconventional policy may differ ex-ante versus ex-post, as can the preferred exit strategy.     

Spillovers of U.S. unconventional monetary policy to emerging markets: The role of capital flows

We employ a structural global VAR model to analyze whether U.S. unconventional monetary policy shocks, identified through changes in the central bank’s balance sheet, have an impact on financial and economic conditions in emerging market economies (EMEs). Moreover, we study whether international capital flows are an important channel of shock transmission. We find that an expansionary policy shock significantly increases portfolio flows from the U.S. to EMEs for almost two quarters, accompanied by a persistent movement in real and financial variables in recipient countries. Moreover, EMEs on average respond to the shock with an easing of their own monetary policy stance. The findings appear to be independent of heterogeneous country characteristics like the underlying exchange rate arrangement, the quality of institutions, or the degree of financial openness.     

The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach

Investor sentiment has become an important factor affecting oil price volatility and extreme risk. Therefore, we utilise a VaR-GARCH model to detect the extreme risk of the crude oil market during 2007–2017, and then explore the causality between investor sentiment and extreme risk in the crude oil market, and their lead-lag and co-movement relationships in the time-frequency domain. The empirical results show that: firstly, investor sentiment leads downside risk but lags the upside risk in the crude oil market; secondly, in the time domain, there is a co-movement between investor sentiment and extreme risk in the crude oil market, in particular, investor sentiment may Granger cause extreme risk in the crude oil market at the 1% significance level but not vice versa; thirdly, in the frequency domain, weak coherence can be found in high-frequency bands but increases in low-frequency bands during the whole sample period, which indicates that the impact of investor sentiment on extreme risk in the crude oil market will last for a long time, although the affected period tends to decrease.     

International spillover effects of unconventional monetary policies of major central banks

This study examines the effects of unconventional monetary policies (UMPs) by the major central banks, namely the Bank of England (BOE), Bank of Japan (BOJ), European Central Bank (ECB) and the Federal Reserve (Fed), on the international financial markets, taking global spillovers and monetary policy interaction into account. To this end, we applied the Global Vector Autoregressive (GVAR) model to 35 countries/economies and one region for the period from March 2009 to July 2019. In addition, we accommodated the smooth transition to the GVAR to consider possible structural changes in the effects of UMPs and monetary policy interaction. Our results indicate the importance of capturing structural changes, showing the remarkable difference between the beginning and end of the sample. For example, we found clear evidence of monetary policy coordination after the global financial crisis and less evidence of policy interaction in the recent period. Also, our results suggest that generally, the UMPs of the major central banks had stronger effects on both domestic and international bond markets in the earlier period. In contrast, the global equity markets responded more positively to the UMPs in the recent period, although there was no noticeable difference in the responses of domestic equity markets throughout the sample.     

News sentiment and the investor fear gauge

This note examines the relationship between aggregate news sentiment and changes in the implied volatility index (VIX). A significant negative contemporaneous relationship between changes in VIX and news sentiment is discovered. The relationship is asymmetric whereby changes in VIX are larger following the release of negative news items.     

Stock market volatility, excess returns, and the role of investor sentiment

Using the Investors' Intelligence sentiment index, we employ a generalized autoregressive conditional heteroscedasticity-in-mean specification to test the impact of noise trader risk on both the formation of conditional volatility and expected return as suggested by De Long et al. [Journal of Political Economy 98 (1990) 703]. Our empirical results show that sentiment is a systematic risk that is priced. Excess returns are contemporaneously positively correlated with shifts in sentiment. Moreover, the magnitude of bullish (bearish) changes in sentiment leads to downward (upward) revisions in volatility and higher (lower) future excess returns.     

Sensitivity to investor sentiment and stock performance of open market share repurchases

This paper finds that stocks of repurchasers with high sensitivity to investor sentiment are more likely to be mispriced. Thus, such repurchases are followed by superior post-buyback stock performance. This abnormal return associated with sensitivity to sentiment cannot be explained by other undervaluation factors: book-to-market or prior return effects. My results are robust with factor model analysis and controls for contamination effects. I conclude that this sentiment-driven undervaluation may result from the difficulty to value and/or limits to arbitrage rather than investor overreaction.     

The information content of option-implied information for volatility forecasting with investor sentiment

This study explores the effect of investor sentiment on the volatility forecasting power of option-implied information. We find that the risk-neutral skewness has the explanatory power regarding future volatility only during high sentiment periods. Furthermore, the implied volatility has varying volatility forecasting ability depending on the level of investor sentiment. Our findings suggest that the effectiveness of volatility forecasting models based on option-implied information varies over time with the level of investor sentiment. We confirm the important role of investor sentiment in volatility forecasting models exploiting option-implied information with strong evidence from in-sample and out-of-sample analyses. We also present improvements in the accuracy of volatility forecasts from volatility forecasting models derived by incorporating investor sentiment in these models.     

The discrete and differential impact of monetary policy

This study exploits a unique feature of the Australian monetary policy environment to determine whether economic recovery can be stimulated via central bank communications. This study finds that unexpected monetary policy announcements and communications have a significant and comparable impact on the value and volatility of the Australian foreign exchange market, suggesting that they can be used interchangeably to stimulate economic recovery. However, further analysis reveals that the state of the economy influences this impact. Specifically, during poor economic states, monetary policy actions speak louder than words, an adage that in this context provides actionable information for central bank regulators.     

Unconventional monetary policy and stock repurchases: Firm-level evidence from a comparison between the United States and Japan

This paper is the first comparative study examining the determinants of stock repurchases during the period of unconventional monetary policy. By constructing a vast firm-level dataset of the U.S. and Japan and conducting multivariate Tobit and probit analyses, this paper presents evidence that during the period of unconventional monetary policy, in both the U.S. and Japan, firms with more free cash flow and lower borrowing costs are more likely to repurchase stock, firms with higher financial leverage are more likely to abstain from stock repurchases, and firms coordinate dividends and stock repurchases to please shareholders. I also find striking contrasts between the results of U.S. and Japanese firms, and show the importance of financial structure in explaining the contrasting results. From a micro perspective, this paper provides new insight and evidence to support the view that financial structure should be thought of as an important factor determining the effects of unconventional monetary policy.     

Unconventional monetary policy announcements and risk aversion: evidence from the U.S. and European equity markets

ABSTRACT

This paper examines the role of unconventional monetary policy announcements on risk aversion – as proxied by the variance premium – by using panel data analysis. The objective of this empirical analysis is to investigate the risk-taking channel of monetary policy for the major European and U.S. equity markets by studying the impact that the announcements of an unconventional monetary policy has on market uncertainty and risk perception. By measuring the difference between risk-neutral and realised and conditional variance, we estimate the variance premium, which captures the impact that pricing concerns have on the prices of options. The empirical analysis indicates that easing monetary policies can significantly reduce the variance premium. In addition, we examine the risk premium structure across markets to determine the potential differences in investors’ risk aversion.     

Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis

This paper investigates the portfolio optimization under investor’s sentiment states of Hidden Markov model and over a different time horizon during the period 2004–2016. To compare the efficient portfolios of the Islamic and the conventional stock indexes, we have employed two approaches: the Bayesian and Markowitz mean-variance. Our findings reveal that the Bayesian efficient frontier of Islamic and conventional stock portfolios is affected by the investor’s sentiment state and the time horizon. Our findings also indicate that the investor’s sentiment regimes change the Islamic and the conventional optimal diversified portfolios.Moreover, the results show that the potential diversification benefits seem to be more important when using the Bayesian approach than when applying the Markowitz approach. This finding is valid for the bearish, depressed, bullish and calm states in Islamic stock markets. However, the diversification of potential portfolios is significant only for the bullish and the bubble states in the conventional financial markets.The findings of the study provided additional evidence for investors to exploit googling investor sentiment states to evaluate the portfolio performance and make an optimal portfolio allocation.     

International channels of the Fed's unconventional monetary policy

Previous research has established that the Federal Reserve's large scale asset purchases (LSAPs) significantly influenced international bond yields. We use dynamic term structure models to uncover to what extent signaling and portfolio balance channels caused these declines. For the U.S. and Canada, the evidence supports the view that LSAPs had substantial signaling effects. For Australian and German yields, signaling effects were present but likely more moderate, and portfolio balance effects appear to have played a relatively larger role than in the U.S. and Canada. Portfolio balance effects were small for Japanese yields and signaling effects basically nonexistent. These findings about LSAP channels are consistent with predictions based on interest rate dynamics during normal times: Signaling effects tend to be large for countries with strong yield responses to conventional U.S. monetary policy surprises, and portfolio balance effects are consistent with the degree of substitutability across international bonds, as measured by the covariance between foreign and U.S. bond returns.     

The short of it: Investor sentiment and anomalies

This study explores the role of investor sentiment in a broad set of anomalies in cross-sectional stock returns. We consider a setting in which the presence of market-wide sentiment is combined with the argument that overpricing should be more prevalent than underpricing, due to short-sale impediments. Long-short strategies that exploit the anomalies exhibit profits consistent with this setting. First, each anomaly is stronger (its long-short strategy is more profitable) following high levels of sentiment. Second, the short leg of each strategy is more profitable following high sentiment. Finally, sentiment exhibits no relation to returns on the long legs of the strategies.     

Estimating the impact of monetary policy on income inequality in China

The article estimates the impact of monetary policy on income inequality in China. The empirical time series analysis finds that a battery of monetary indicators and the change in the unemployment rate lead to increases in the Gini coefficient. But only unemployment is statistically significant. The lack of significance of the monetary indicators is robust to running different econometric models using nominal output as an alternative to unemployment. Unemployment’s impact on income inequality is robust to considering a fiscal policy proxy alongside inflation in the benchmark equation.     

Returns,volatility and investor sentiment: Evidence from European stock markets

In this study, we show that patterns in returns behave as if investors, influenced by their level of optimism, selected stocks according to their volatility. Our goal is to confirm the contribution of behavioral finance while showing that investor sentiment can be profitably used by practitioners. We incorporate volatility in the relationship between investor sentiment and future returns, this is the main originality of our approach. Our methodology consists in comparing returns, volatility and higher-order moments of portfolios managed with investor sentiment against those obtained either with passive (buy and hold) portfolio management or with a minimum variance portfolio. Portfolios managed with investor sentiment have better returns and involve less risk under certain conditions.     

The impact of monetary policy surprises on asset return volatility: the case of Germany

This paper investigates the impact of monetary policy surprises by the FED or Bundesbank/ECB on the return volatility of German stocks and bonds using a GARCH-M model. We show that stock return volatility is susceptible to monetary policy surprises in the United States, whereas monetary policy surprises in the Euro zone matter for bond return volatility. These findings are robust for other Euro zone stock markets, but not significant for other Euro zone bond markets. The empirical evidence also suggests that monetary policy surprises have larger effects on German stock return volatility in bear markets than in bull phases. Moreover, our results support the claim that stock return volatility can be negatively correlated with stock returns, contradicting predictions made by many asset pricing models (e.g., CAPM or ICAPM) and the empirical finding of an insignificant relationship often reported in the literature.

Firm life cycle,corporate risk‐taking and investor sentiment

This study investigates the corporate risk‐taking and the performance consequences at different stages of the firm life cycle. We find that risk‐taking is higher in the introduction and decline stages of the life cycle, but lower in the growth and mature stages. We also find that risk‐taking during introduction and decline stage (growth and maturity stage) affects future performance adversely (positively). We also document that managerial risk‐taking propensities increase during periods of high investor sentiment and firms in different life cycle stages respond to sentiment differently. Collectively, these results suggest that the firm life cycle has explanatory power for corporate risk‐taking behaviour.