Market States and the Effect on Equity REIT Returns due to Changes in Monetary Policy Stance

This study investigates the effect of changes in monetary policy on US equity real estate investment trust (EREIT) returns in lower and higher return ranges during bull, bear, and volatile stock market states using quantile regression. Results show that EREIT returns are sensitive to changes in monetary policy at different EREIT return ranges in different market states. During bull markets, changes in monetary policy have a significant negative impact on EREIT when investors have lower expectations of real estate price increases, but are not effective when investors have higher expectations of real estate price increases. During volatile and bear markets, EREIT returns are not sensitive to changes in monetary policy stance. Results also show that EREIT returns respond positively to stock returns in various states and conditions.     

Monetary environments and international stock returns

Previous research documents that US stock returns are related to the US monetary environment. The focus of this paper is to determine whether stock returns in foreign markets are associated with both local and US monetary environments. Consistent with the US market results, we find that foreign stock returns are generally higher in expansive US and local monetary environments than they are in restrictive environments. Further, these higher returns are generally not accompanied by increases in risk. Interestingly, several of the stock markets are more strongly related to the US monetary environment than to local monetary conditions. For seven of the 15 foreign countries examined, the local and US monetary environment explain 4% or more of the variation in monthly stock returns.     

Simultaneous monetary policy announcements and international stock markets response: An intraday analysis

This paper investigates the return and volatility response of major European and US equity indices to monetary policy surprises by utilizing extensive intraday data on 5-min price quotes along with a comprehensive dataset on monetary policy decisions and macroeconomic news announcements. The results indicate that the monetary policy decisions generally exert immediate and significant influence on stock index returns and volatilities in both European and the US markets. The findings also show that press conferences held by the European Central Bank (ECB) that follow monetary policy decisions on the same day have a clear impact on European index return volatilities. This implies that they convey additional important information to market participants. Overall, our analysis suggests that the use of high frequency data is critical to separate the effect of monetary policy actions from those of macroeconomic news announcements on stock index returns and volatilities.     

Pricing assets with higher moments: Evidence from the Australian and us stock markets

This paper investigates the importance of higher moments of return distributions in capturing the variation of average stock returns for companies listed in the leading S&P US and Australian indices. We find that Australian stocks are more negatively skewed but less leptokurtic than US stocks. As a result, we find that co-skewness plays a more important role in explaining Australian returns while co-kurtosis is consistently influential for US stock returns. We postulate that the differences in results are related to the underlying firm characteristics of the companies in the two indices, where principally the Australian firms are noticeably smaller than their US counterparts and concentrated in a smaller number industry sectors. This implies that for many smaller exchanges around the world higher moment characteristics displayed by the US market may not be applicable. We also show our results are robust to partly explaining average stock returns in the presence of size, value, and momentum effects.     

Granger-causality in quantiles between financial markets: Using copula approach

This paper considers the Granger-causality in conditional quantile and examines the potential of improving conditional quantile forecasting by accounting for such a causal relationship between financial markets. We consider Granger-causality in distributions by testing whether the copula function of a pair of two financial markets is the independent copula. Among returns on stock markets in the US, Japan and U.K., we find significant Granger-causality in distribution. For a pair of the financial markets where the dependent (conditional) copula is found, we invert the conditional copula to obtain the conditional quantiles. Dependence between returns of two financial markets is modeled using a parametric copula. Different copula functions are compared to test for Granger-causality in distribution and in quantiles. We find significant Granger-causality in the different quantiles of the conditional distributions between foreign stock markets and the US stock market. Granger-causality from foreign stock markets to the US stock market is more significant from UK than from Japan, while causality from the US stock market to UK and Japan stock markets is almost equally significant.     

Taiwanese Mutual Fund Performance Under Different Central Bank of China Monetary Policy Environments

This study examines the performance of mutual funds under different Central Bank of China monetary policy environments in the emerging Taiwan market. To measure monetary policy changes effectively, we exploit changes in the discount rate and further categorize the monetary environment as either restrictive or expansive. We consider a restrictive monetary environment to be a period in which the discount rate rises, whereas an expansive monetary condition is a period in which the discount rate drops. It is found that all mutual funds, both domestic and international funds, exhibit a higher mean return, lower risk, and higher Sharpe and Treynor ratios under expansive monetary policy environments. Regression results show that domestic mutual fund returns are related significantly to local monetary policy. Furthermore, after controlling for the possible effect of macro factors on the association between the monetary policy dummy variable and mutual fund returns, the significant influence of monetary policy on domestic mutual fund returns remains robust. In contrast, changes in U.S. monetary policy stringency, in general, do not affect the performance of either domestic or international mutual funds in Taiwan.     

Federal Reserve Monetary Policy and Industry Stock Returns

Recent studies identify stock return patterns associated with changes in Federal Reserve monetary policy. We find that these return patterns prevail across sixteen industry stock indices. However, significant cross-industry variation exists as the apparel industry exhibits mean annual returns that are 50% higher under an expansive Fed policy than under a restrictive policy, while the same return difference for the oil industry is only 20%. This cross-industry variation suggests that monetary conditions may be used by investors to estimate different expected returns across industries. Furthermore, the findings support the view that monetary considerations should be considered in ex ante asset pricing models such as the CAPM.     

MONETARY POLICY INDICATORS AS PREDICTORS OF STOCK RETURNS

We explore the linkage between stock return predictability and the monetary sector by examining alternative proxies for monetary policy. Using two complementary methods, we document that failure to condition on the Fed's broad policy stance causes a substantial understatement in the ability of monetary policy measures to predict returns. Industry analyses suggest that cross‐industry return differences are also linked to changes in monetary conditions, as monetary policy has the strongest (weakest) relation with returns for cyclical (defensive) industries. Overall, we find that monetary conditions have a prominent and systematic relation with future stock returns, even in the presence of business conditions.     

U.S. monetary policy indicators and international stock returns: 1970-2001

It is documented in the literature that U.S. and many international stock returns series are sensitive to U.S. monetary policy. Using monthly data, this empirical study examines the short-term sensitivity of six international stock indices (the Standard & Poor 500 [S&P] Stock Index, the Morgan Stanley Capital International [MSCI] European Stock Index, the MSCI Pacific Stock Index, and three MSCI country stock indices: Germany, Japan, and the United Kingdom) to two major groups of U.S. monetary policy indicators. These two groups, which have been suggested by recent research to influence stock returns, are based on the U.S. discount rate and the federal funds rate. The first group focuses on two binary variables designed to indicate the stance in monetary policy. The second group of monetary indicators involves the federal funds rate and includes the average federal funds rate, the change in the federal funds rate, and the spread of the federal funds rate to 10-year Treasury note yield. Dividing the sample period (1970-2001) into three monetary operating regimes, we find that not all policy indicators influence international stock returns during all U.S. monetary operating periods or regimes. Our results imply that the operating procedure and/or target vehicle used by the Federal Reserve Board (Fed) influences the efficacy of the policy indicator. We suggest caution in using any monetary policy variable to explain and possibly forecast U.S. and international stock returns in all monetary conditions.     

Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S.

This paper studies the relationship between monetary policy and stock market return in the U.S. using nonlinear econometric models. It first employs a univariate Markov-switching model on each of the three stock indices and three monetary policy variables, displaying significant regime-switching patterns and common movements. This paper then uses a Markov-switching dynamic bi-factor model to simultaneously extract two latent common factors from stock indices and monetary policy variables to represent monetary policy changes and stock market movements separately. The smoothed probabilities of regimes demonstrate that expansionary monetary policy regimes follow economic recessions, but bear stock markets usually occur before economic recessions. The maximum likelihood estimation results show that expansionary monetary policy such as a decrease in the federal funds rate raises stock returns, but stock returns don't directly influence monetary policy decision.     

Oil prices,US stock return,and the dependence between their quantiles

In this article, we examine the relationship between oil prices and US equities by proposing a novel quantile-on-quantile (QQ) approach to construct estimates of the effect that the quantiles of oil price shocks have on the quantiles of the US stock return. This approach captures the dependence between the distributions of oil price shocks and the US stock return and uncovers two nuance features in the oil–stock relationship. First, large, negative oil price shocks (i.e. low oil price shock quantiles) can affect US equities positively when the US market is performing well (i.e. at high US return quantiles). Second, while negative oil price shocks could affect the US stock market, the influence of positive oil price shocks is weak, which suggests that the relationship between oil prices on the US equities is asymmetric.     

The determinants of quantile autocorrelations: Evidence from the UK

We empirically analyse the cross-sectional determinants of stock return autocorrelations in the UK in different quantiles of conditional return distributions. Autocorrelations in low quantiles are predominantly positive, whereas those in the remaining quantiles are negative. Autocorrelations in different quantiles depend on different sets of firm and trading characteristics: when returns are normal or high, prices react quickly to information, are driven by positive feedback traders, instantaneous news arrivals, and overshoot, trades are predominantly motivated by hedging/liquidity needs, and measured autocorrelations can be biassed by the bid–ask bounce effect and nonsynchronous trading. However, when returns are unusually low, prices are driven by information arriving sequentially and react sluggishly to it, and are influenced by trading on private information and/or negative feedback traders.     

Does Monetary Policy Have Asymmetric Effects on Stock Returns?

This paper investigates whether monetary policy has asymmetric effects on stock returns using Markov-switching models. Different measures of a monetary policy stance are adopted. Empirical evidence from monthly returns on the Standard & Poor's 500 price index suggests that monetary policy has larger effects on stock returns in bear markets. Furthermore, it is shown that a contractionary monetary policy leads to a higher probability of switching to the bear-market regime.     

Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach

Using daily price data for Bitcoin and 10 representative financial assets from the stock, commodity, gold, foreign exchange and bond markets from 2011 to 2019, we study the tail dependence between returns for Bitcoin and these other financial assets using the novel “quantile cross-spectral dependence” approach of Baruník and Kley (2019). We find evidence of right-tail dependence between Bitcoin returns and the S&P 500 in the long term and weaker normal return dependence between Bitcoin and the US Dollar (USD)–Euro (EUR) foreign exchange rate in the monthly term. In addition, we note that the dependence between Bitcoin and commodity as well as oil, and silver decrease the most within their respective medium return quantiles over the short term. Furthermore, we document a one-way causality running from each of the financial assets considered to Bitcoin in different quantiles of the return distribution. In sum, our findings support the notion that Bitcoin can provide financial diversification in certain return quantiles (i.e., bear, normal, or bull asset conditions) and time frequencies (i.e., short, medium, or long term investment horizon).     

Extreme connectedness of agri-commodities with stock markets and its determinants

In this paper, we quantify the extreme connectedness between agricultural commodity prices with food and beverage stock market returns. We find that the connectedness of returns relies on the degree of the inverse shock, as suggested by the larger impact of the anticipated shock on the upper and lower tails than the estimated shock on the conditional mean. Additionally, the dynamics of the connectedness of returns monitored in the tail differ from the conditional mean. These two outcomes recommend that using conditional averages is limited and imprecise to analyze returns connected with extreme positive/negative events in agricultural commodities and food & beverage indices. Next, we find the determinants of the extent of the connectedness by employing firm level statistics. We find that some of the determinants driving the return spillovers at upper and lower quantiles are quite different from those driving the return spillovers at the middle quantile.     

Stock Return Predictability and The Role of Monetary Policy

This article examines whether shifts in the stance of monetary policy can account for the observed predictability in excess stock returns. Using long-horizon regressions and short-horizon vector autoregressions, the article concludes that monetary policy variables are significant predictors of future returns, although they cannot fully account for observed stock return predictability. I undertake variance decompositions to investigate how monetary policy affects the individual components of excess returns (risk-free discount rates, risk premia, or cash flows).     

美联储货币政策对我国资产价格的影响

本文利用事件研究法考察了美联储货币政策对我国资产价格的影响。研究发现美联储货币政策会显著影响我国资产价格,美联储加息会降低我国债券和股票回报,降息则会提高债券和股票回报。将美联储货币政策进行细分后发现,预期到的货币政策调整对债券市场和股票市场的回报都有显著影响,而未预期到的货币政策调整和前瞻性指引只影响债券市场。进一步的研究表明,未预期到的美联储货币政策调整和前瞻性指引还会加剧我国金融市场的波动率。本文的研究结论为美联储货币政策对我国经济金融的影响提供了新的证据,对于投资者提高投资收益、降低投资风险以及货币当局完善我国货币政策调控和维护我国金融市场稳定具有重要意义。     

Funding conditions and insurance stock returns: Do insurance stocks really benefit from rising interest rate regimes?

We examine funding conditions and U.S. insurance company stock returns. Although constrained funding conditions, signaled by restrictive Federal Reserve monetary policy, correspond with increases in the future payouts of fixed‐income securities held by insurance firms and potentially provide value through the liability side of insurer balance sheets, they also decrease the values of securities currently held in insurer portfolios. Prior research finds that restrictive policy has a negative effect on equity returns in general. Our results suggest the negative impacts of constrained funding environments outweigh the potential positives, as insurance company stock returns are significantly lower during periods of constrained funding. This effect varies within a given funding state and also across insurer type. The effect is strongest during the first 3 months of a constrained funding environment and for life and health insurers—insurer types with longer portfolio durations. For property and liability (P&L) insurers, lower stock return performance only exists in the first 3 months of a constrained funding environment. In the subsequent months, P&L insurers actually have higher stock returns during constrained periods, consistent with their typically shorter duration asset portfolios, which are more quickly rolled over into new higher‐yielding securities.     

The stock–bond correlation and macroeconomic conditions: One and a half centuries of evidence

Using monthly stock and bond return data in the past 150 years (1855–2001) for both the US and the UK, this study documents time-varying stock–bond correlation over macroeconomic conditions (the business cycle, the inflation environment and monetary policy stance). There are different patterns of time variation in stock–bond correlations over the business cycle between US and UK, which implies that bonds may be a better hedge against stock market risk and offer more diversification benefits to stock investors in the US than in the UK. Further, there is a general pattern across both the US and the UK during the post-1923 subperiod and during the whole sample period: higher stock–bond correlations tend to follow higher short rates and (to a lesser extent) higher inflation rates.     

Pacific Rim Stock Market Integration Under Different Federal Funds Rate Regimes

This study uses Sims-type vector autoregression technique to examine the stock markets integration among the US and four major Asian-Pacific stock exchanges during 1993 and 1994. The two different sample periods capture the change in US monetary policy in 1994. Empirical results show that when the US was targeting the federal funds rate in 1994, the variations in US stock returns much better explain the variations of stock returns in Hong Kong, Singapore and Australia.