Asymmetric volatility spillovers between international economic policy uncertainty and the U.S. stock market

This paper studies the asymmetric spillover effect of important economic policy uncertainty (EPU) on the S&P500 index. We use monthly EPU indexes from Australia, Canada, China, Japan, the U.K. and the U.S. and the realized volatility of the U.S. stock market to study the asymmetric pairwise directional spillovers on the U.S. stock market from 2000 to 2019. We find that S&P500 index volatility is a net recipient of spillovers from important EPU indexes. Japanese EPU has the strongest spillover effect on the U.S. stock markets, while EPU from the U.K. plays a very limited role. By decomposing the volatility into good and bad volatility, we find that the relationship between bad stock market volatility and EPU is stronger than between good volatility and EPU. Time-varying spillover characteristics show that bad volatility reacts more strongly to shocks in EPU following the debt crisis and trade negotiations. Several robustness checks are provided to verify the novelty of these findings.     

The effect of exchange rate volatility on U.S. bilateral trade with Africa: A symmetric and asymmetric analysis

The impact of exchange rate volatility on U.S. trade with the world or on U.S. trade with major partners has been assessed by many researchers, but none have considered the case of U.S. trade with African nations. We fill this gap by assessing the symmetric and asymmetric impact of the real bilateral exchange rate volatility between the U.S. dollar and each African partner’s currency on the U.S. trade flows with each of the 20 partners from Africa. We found asymmetric short-run effects of exchange rate volatility on almost all U.S. exports to and imports from each of the 20 countries. In addition, significant long-run asymmetric effects were discovered in the case of U.S. exports to 15 countries and U.S. imports from 12 countries. Our findings are partner-specific.     

Do U.S. and Japanese uncertainty shocks play important roles in affecting transition mechanisms of Japanese stock market?

This research investigates the impacts of U.S. and Japanese uncertainty shocks on the transition mechanisms of the Japan stock market dynamics by utilizing the Markov-switching GARCH-jump model with a time-varying transition probability matrix and analyzes the economic policy uncertainty shock of Japan, the economic policy uncertainty shock of the U.S., and the uncertainty shock about the U.S. equity market volatility. The empirical results demonstrate that the Japan stock market responds to most shocks with the exception of the U.S. economic policy uncertainty shock. The equity market volatility shock of the U.S. plays a more crucial role than the economic policy uncertainty shock of Japan. Furthermore, an increase in the U.S. equity market volatility shock reveals totally different signals in different volatile states. It signals an adverse belief about the Japan stock market in a high-volatile state, but signals an optimism viewpoint about the Japan stock market in a low-volatile state. Finally, the impact of the uncertainty shock about the U.S. stock market volatility is stronger in a high-volatile market than in a low-volatile market.     

Japanese and U.S. interventions in the yen/U.S. dollar market: estimating the monetary authorities’ reaction functions

This paper uses recently released official data on the foreign exchange market interventions of the Japanese monetary authorities in the yen/U.S. dollar market during the period 1991–2001 to examine the motivation for the intervention policy. We also compare the Japanese intervention policy with the U.S. intervention policy. Our results suggest that the Japanese authorities regularly responded to deviations of the yen/U.S. dollar exchange rate from a short-term and a long-term exchange rate target. By contrast, the U.S. authorities intervened only occasionally and seemed to have merely reinforced Japanese interventions.     

Testing the stabilization hypothesis in the UK short-term interest rates: Evidence from a GARCH-X model

The objective of this paper is to examine the validity of one of the recurring arguments made against futures markets that they give rise to price instability. The paper concentrates on the impact of futures trading on the spot market volatility of short-term interest rates. The analytical framework employed is based on a new statistical approach aiming to reconcile the traditional models of short-term interest rates and the conditional volatility processes. More specifically, this class of models aims to capture the dynamics of short-term interest rate volatility by allowing volatility to depend on both scale effects and information shocks. Using a GARCH-X and asymmetric GARCH-X model four main conclusions emerge from the present study. First, the empirical results suggest that there is an indisputable change in the nature of volatility with evidence of mean reversion after the onset of futures trading. Second, the information flow into the market has improved as a result of futures trading. Third, a stabilization effect has been detected running from the futures market to the cash market by lowering volatility levels and decreasing the risk in the spot market. Finally, trying to capture the leverage effect the findings suggest that positive shocks have a greater impact on volatility than negative shocks.     

Determining hedges and safe havens for stocks using interval analysis

We examine whether hedging and safe haven assets exist against stocks when market high and low prices evaluate asset prices. Using interval-based estimations, this paper finds that 10-year government bonds, the U.S. dollar, and gold served as weak hedging and/or safe haven assets for the stock market losses over the 2002–2019 period. We also provide evidence of the USD’s and gold’s hedging ability against the stock market volatility and of volatility transmission between assets, and highlight the importance of considering volatility.     

The impacts of investor sentiment on returns and conditional volatility of international stock markets

One of the main arguments of behavioral finance is that some properties of asset prices are most probably regarded as deviations from fundamental value and they are generated by the participation of traders who are not fully rational, thus called noise traders. Noise trader theory postulates that sentiment traders have greater impact during high-sentiment periods than during low-sentiment periods, and sentiment traders miscalculate the variance of returns undermining the mean-variance relation. The main objective of this research is to construct a model to evaluate the returns and conditional volatility of various stock market indexes considering the changes in the investor sentiment by measuring the effects of noise trader demand shocks on returns and volatility. EGARCH model is used to determine whether earning shocks have more influence on the conditional volatility in high sentiment periods weakening the mean–variance relation. This paper takes an international approach using weekly market index returns of U.S., Japan, Hong Kong, U.K., France, Germany, and Turkey. Weekly trading volumes of these indexes are regressed against a group of macroeconomic variables and the residuals are used as proxies for investor sentiment and significant evidence is found that there is asymmetric volatility in these market indexes and earning shocks have more influence on conditional volatility when the sentiment is high.     

Dynamics of floating exchange rate: how important are capital flows relative to macroeconomic fundamentals?

While focusing on traditional macroeconomic fundamentals, existing literature has provided little understanding of impacts of various types of capital flows on the dynamics of floating exchange rates. This paper develops a structural VAR model that takes into account macroeconomic fundamentals as well as various types of capital flows in explaining the fluctuations of the floating exchange rates of the Australian dollar, the Canadian dollar, and the U.S. dollar over 1980–2004. Our main findings are as follows. Among the traditional macroeconomic fundamentals, relative interest rate still plays a significant role in explaining exchange rate dynamics for all three currencies. Capital flows play an important role in explaining the fluctuations in the Australian dollar and the Canadian dollar, but not the U.S. dollar. In particular, portfolio investment is the most explanatory factor for the Australian dollar and the Canadian dollar. For the U.S. dollar, relative interest rate explains the most of exchange rate fluctuations, especially in the medium to the long run. The results indicate that capital market transactions do play important roles in determining exchange rates; however, it may have different implications for the reserve currencies versus the non-reserve currencies. Further research is needed.     

Sources of volatility persistence: A case study of the U.K. pound/U.S. dollar exchange rate returns

This paper utilizes a new approach to examine the inherent nonlinear dynamics of the exchange rate returns volatility. Specifically, we utilize a regime switching threshold (i) generalized autoregressive conditional heteroskedasticity (RS-TGARCH) and (ii) a fractional generalized autoregressive conditional heteroskedasticity (RS-TFIGARCH) model. The RS-TGARCH model is found to be adequate in analyzing the first two moments of the U.K. pound/U.S. dollar monthly exchange rate returns series. The RS-TFIGARCH is found to be adequate for the daily returns series. The volatility persistence and leverage effects associated with exchange rate returns series are jointly tested by means of a Wald Chi-square test.     

Comparing exchange rate forecasting models: Accuracy versus profitability

In this paper we compare the rankings of alternative exchange rate forecasting models using two different evaluation criteria: forecast accuracy and profitability in forward market speculation. Either or both of these criteria may be useful to the practitioner depending on the forecasting application. We use both time-series and static and dynamic structural models to construct forecasts for the Canadian dollar/U.S. dollar and German mark/U.S. dollar exchange rates over the period 1976 :12–1984: 9. Our results confirm earlier findings that simple time-series models such as the random walk rank highest in forecast accuracy. The random walk also ranks high in terms of profitability for the German mark, but for the Canadian dollar the profitability rankings are quite different than the accuracy results. For both currencies we find that some models are very profitable in forward speculation, which is evidence against the speculative efficiency hypothesis but may be consistent with the existence of risk premia in foreign exchange markets.     

A revisit to economic exposure of U.S. multinational corporations

To shed light on the influence of U.S. major trade partners’ currencies on MNCs’ firm values, this study investigates the asymmetric effects and the determinants of appreciated and depreciated economic exposure of the U.S. MNCs. Our empirical results reveal several findings: (1) The influences of exchange rate fluctuation on stock returns vary enormously for different currencies. (2) During the U.S. dollar appreciating period, MNCs benefit very little from this appreciation against major trade partners’ currencies, but most MNCs see harmful impacts from a U.S. dollar appreciation against the Brazilian real. (3) During the U.S. dollar depreciating period, most U.S. MNCs benefit from this depreciation against the European Monetary Union’s euro, Mexican new peso and Brazilian real; however, they overall suffer losses against the Chinese yuan, Japanese yen, and British pound. (4) The level of foreign sales is the key determinant of economic exposure.     

Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach

In this study, we investigate the dependence structures between six Chinese stock markets and the international financial market including possible safe haven assets and global economic factors under different market conditions and investment horizons. The research is conducted by combining a quantile regression approach with a wavelet decomposition analysis. Although we find little or insignificant dependence under short investment horizons, we detect the strong asymmetric dependence of oil prices and the US dollar index on the six Chinese stock markets in the medium and long terms. Moreover, not only is crude oil not a safe haven, it may damage Chinese stock markets as it increases over the long term, even in bull markets. Meanwhile, appreciation of the US dollar (depreciation of RMB) damages (boosts) Chinese stock markets during bull (bear) market conditions under long investment horizons. Moreover, we find that VIX (volatility index)-related derivatives may serve as good risk management tools under any market condition, while gold is a safe haven asset only during crisis periods.     

基于分形理论的原油期货高频交易风险测度研究

为了捕捉原油期货高频波动规律,采用WTI原油期货五分钟数据,基于分形理论分别构建GED分布和Skew-t分布的FIGARCH、FIAPARCH和HYGARCH模型,分析其波动特征并对风险进行测度。结果显示：三种模型均较好地刻画出WTI原油期货波动的长记忆特征;基于Skew-t分布的HYGARCH模型在度量原油期货高频交易风险时尤为精确;多头与空头头寸的VaR呈现非对称性;套期保值者或高频交易者可依据模型预测波动率,防止短期波动率过大导致保证金不足而被强制平仓。高频交易在提高市场流动性和拓宽市场深度方面具有一定的作用,因此,在风险可控的条件下,政府应该鼓励高频交易,促进我国衍生品市场繁荣发展,并增强衍生品市场稳定性和国际竞争力。     

Evolving United States stock market volatility: The role of conventional and unconventional monetary policies

Despite the econometric advances of the last 30 years, the effects of monetary policy stance during the boom and busts of the stock market are not clearly defined. In this paper, we use a structural heterogeneous vector autoregressive (SHVAR) model with identified structural breaks to analyse the impact of both conventional and unconventional monetary policies on U.S. stock market volatility. We find that contractionary monetary policy enhances stock market volatility, but the importance of monetary policy shocks in explaining volatility evolves across different regimes and is relative to supply shocks (and shocks to volatility itself). In comparison to business cycle fluctuations, monetary policy shocks explain a greater fraction of the variance of stock market volatility at shorter horizons, as in medium to longer horizons. Our basic findings of a positive impact of monetary policy on equity market volatility (being relatively stronger during calmer stock market periods) are also corroborated by analyses conducted at the daily frequency based on an augmented heterogeneous autoregressive model of realised volatility (HAR-RV) and a multivariate k-th order nonparametric causality-in-quantiles framework. Our results have important implications both for investors and policymakers.     

中、美、日实际均衡汇率模型的构建及实证研究

本文基于BEKK-MGARCH模型建立了中、美、日三国的实际均衡汇率方程和方差方程,对1994年以来中国、美国和日本的实际均衡汇率及其波动溢出效应进行了深入细致的分析。结果表明:三个国家的实际均衡汇率受其经济基本面因素的影响不同,人民币实际均衡汇率还受到了美元和日元实际汇率的影响;中美、中日、美日之间的联动关系存在显著的ARCH和GARCH效应。     

Using CARRX models to study factors affecting the volatilities of Asian equity markets

The range of daily asset prices is often used as a measure of volatility. Using a CARRX (conditional autoregressive range with exogenous variables) model, and the parsimony principle, the paper investigates the factors affecting the volatilities of Asian equity markets. Since the beginning of the new Century, emerging Asian markets such as Taiwan and Shanghai have been undergoing various stages of financial globalization. The volatility of the equity market may not be explained solely by its own dynamics. In this paper, we examine volatility using the following factors: (i) lagged returns; (ii) lagged absolute returns; (iii) own trading volume; (iv) U.S. factors; (v) European factors; and (vi) regional (Asian) factors. Points (i) and (iii) are by and large significant, while (ii) is not. Controlling for (i), (ii) and (iii), we find evidence that the volatility of European markets has spillovers on to both the Taiwan and Tokyo markets, mild evidence that the volatility of the U.S. market has spillovers on to the Hong Kong market, but there are no spillovers from the European or U.S. markets on to the Shanghai market.     

Trading patterns in the European carbon market: The role of trading intensity and OTC transactions

This paper examines the effect of trading intensity and OTC transactions on expected market conditions in the early development period of the European Carbon futures market. Past duration and trading intensity are used as information related order flow variables in modelling time between transactions in two new specifications of Autocorrelation Conditional Duration (ACD) models. This allows for specific investigation of non-linear asymmetric effects on expected duration and the impact of OTC transactions. Evidence is presented of two main types of trading episodes of increased and decreased trading intensity. Both have a significant impact on price volatility, which increases further if an OTC transaction intrudes. OTC transactions also play a dual role. They slow down trading activity in the short term (over the next five transactions) but increase it substantially in the long term (over ten transactions). Both the liquidity and information price impact components increase following an OTC trade, but the information impact is greater. Price volatility calms down faster than liquidity effects following an OTC trade, and this is more pronounced in ECX and in Phase II. The combined evidence points towards increased market depth, efficiency and maturity of the trading environment.     

Forecasting oil futures market volatility in a financialized world: Why speculative activities matter

We analyze the relation between volatility and speculative activities in the crude oil futures market and provide short-term forecasts accordingly. By incorporating trading volume and opening interest (speculative ratio) into the volatility dynamics, we document the subtle interaction between the two measures of which the volatility-averse behavior of speculative activities plays a considerable role in the market. Moreover, by accounting for structural changes, we find significant evidence that this behavior currently becomes weaker than in the past, which implies the oil futures market is less informative and/or less risk-averse in recent time period. Our forecasts based on these features perform very well under the predictive preferences that are consistent with the volatility-averse behavior in the oil futures market. We provide discussions and policy inferences.     

Volatility spillovers among the U.S. and Asian stock markets: A comparison between the periods of Asian currency crisis and subprime credit crisis

This paper examines the changing nature of volatility spillovers among the U.S. and eight East Asian stock markets between two financial crises: the Asian currency crisis and the U.S. subprime credit crisis. Our empirical results suggest that volatility is not always spilled over from the directly affected markets to surrounding markets in crisis periods. The East Asian markets who directly suffered from the Asian currency crisis are the ones to which volatility is spilled over from other markets during the Asian currency crisis period, whereas uni-directional volatility spillovers from the U.S. market to other markets are observed during both crisis periods. This difference can be explained by a pre-determined hierarchy in which volatility spillovers tend to start from the U.S. market regardless of the geographical origin of the crisis. Furthermore, our results reveal that the markets in three major Asian financial hubs, i.e., Japan, Hong Kong and Singapore, are the markets to which volatility is spilled over uni-directionally from several other countries during the subprime credit crisis period, but not during the Asian currency crisis period. We attribute this difference to crisis-specific (currency or credit crisis), market-specific (credit derivatives market participation and foreign currency reserves), and time-specific (more integrated global market) factors.     

Cost of equity for Canadian and U.S. sectors

A two-stage CAPM approach is used to generate cost-of-equity estimates and sources of their uncertainty for 10 GICS sectors in Canada and the U.S. under the assumption of relatively integrated North American economies and equity markets. The estimated cost of equity for the Canadian sectors is, on average, about the same as that of the U.S. sectors, but with a higher estimation error. The estimation error of the market risk premium is the most important uncertainty component for the equity cost estimates, except for Canadian Utilities where beta uncertainty is the most important component. Beta and interaction effects play a relatively more important role in Canada due to relatively more volatile sector betas in Canada. Our study suggests that: (1) Canadian cost of equity should be estimated in an integrated market rather than a segmented market and (2) higher importance should be given to estimating the dynamics of betas for the Canadian sectors.