The dynamic moderating function of the exchange rate market on the oil-stock nexus

Oil price movements have an important impact on the stock market, and this impact could be dynamically moderated by the exchange rate, which could not be effectively depicted by VAR or GARCH methods widely used in previous studies. This paper adopts a more flexible nonlinear model to investigates this dynamic moderating effect of the exchange rate market on the oil-stock nexus for 45 major countries from November 30, 2005 to November 22, 2019. We also compare the differences in this moderating effect between oil-importing and oil-exporting countries and confirm the presence of a wealth transfer effect. Specifically, the empirical results show that (1) In the stage where domestic currency depreciation or appreciation degree is not serious (the growth rate is less than 0.1), an increase in crude oil prices has a positive impact on stock market returns, and this positive impact is weakened when the growth rate of the exchange rate return approaches zero. (2) As the local currency continues to appreciate (the growth rate is greater than about 0.22), the increase in crude oil prices may negatively influence stock market returns to an increasingly greater extent among crude oil importers. (3) The increase in crude oil prices may have a short-term positive impact on stock market returns in oil-exporting countries due to the wealth transfer effect when the domestic currency appreciates at a faster rate. Finally, we discuss the policy implications of our findings to help investors avoid risks due to fluctuations in international oil prices.     

UK imports,third country effect and the global financial crisis: Evidence from the asymmetric ARDL method

This paper examines the role of exchange rate volatility in determining real imports. As a robustness check, it further explores the impact of the recent global financial crisis which is a period characterized by heightened exchange rate volatility. More specifically, we investigate the impact of exchange rate volatility on UK real imports from Germany, Japan and the US during the period January 1991–March 2013. In contrast to most studies which focus on bilateral trade, we additionally explore the third country exchange rate volatility effect on UK imports. To capture the nonlinear features which often characterize macroeconomic data, we employ the asymmetric autoregressive distributed lag (ARDL) approach to cointegration. Our results suggest that exchange rate volatility plays an important role and reveal that there is a significant effect of the recent financial crisis on UK imports. This finding is consistent when we test for the third country volatility effect. Finally, we find that there is a significant causal relationship between exchange rate volatility and UK imports both in bilateral tests and in tests which account for the third country exchange rate volatility.     

Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas

With the acceleration of global energy transition and financialization, intense climate policy uncertainty and financial speculation have significant impacts on the global energy market. This paper uses TVP-VAR-SV models to analyze the nonlinear effects of climate policy uncertainty (CPU), financial speculation, economic activity, and US dollar exchange rate on global prices of crude oil and natural gas respectively, and then compare the time-varying response of oil prices and gas prices to six representative CPU peaks. The results show that responses of energy prices to various shocks have significant nonlinear effects: the time-varying effect of CPU on energy prices from positive to negative over time is significant, and financial speculation has the opposite effects on oil and gas prices. The effect from economic activity is mainly positive, while the effects of US dollar exchange are negative and stable. These results provide important implications for policymakers and investors dealing with high levels of climate policy uncertainty, financial speculation, and global economic activity.     

Volatility spillover in the foreign exchange market: the Indian experience

We find evidence of significant volatility co-movements and/or spillover from different financial markets to the forex market in India. Among a large number of variables examined, volatility spillovers from domestic stock, government securities, overnight index swap, Ted spread and international crude oil markets to the foreign exchange market are found to be significant. There is evidence of asymmetric reactions in the forex market volatility. Comparisons between pre-crisis and post-crisis volatility indicate that the reform measures and changes in financial markets microstructure during the crisis period had significant impact on volatility spillover. During the post-crisis period, the lagged volatility component that represents persistent or fundamental changes had significant spillover effect on forex volatility, rather than the temporary shocks component. There is evidence of a decline in the asymmetric response in the forex volatility during the post-crisis period in India.     

Asymmetric exchange rate pass-through in an emerging market economy: The case of Mexico

This paper applies a nonlinear Autoregressive Distribute Lag to examine the exchange rate pass-through into consumer price inflation in Mexico. Overall, the evidence confirmed that ignoring the asymmetric (sign) effect of exchange rate movements on inflation may lead to incorrect inferences and policy conclusions. Exchange rate fluctuation is transferred to prices level more during currency depreciation than appreciation. We compare the macroeconomic performances between pre- and post-inflation targeting, and our findings reaffirmed that the pass-through has weakened significantly after launching inflation targeting in 2001. This result implies that low inflation in the sample period examined is good for Mexico because exchange rate pass-through declines after 2001. Consumer prices have become less responsive to exchange rate movements. We further observe a revival (strengthening) of oil price pass-through to domestic inflation in the post- inflation targeting period.     

基于金融形势指数对我国货币政策效果非线性的实证研究

本文基于总需求方程缩减式构建包含利率、汇率、资产价格以及货币供给因素具有动态权重的金融形势指数FCI,将其作为信息变量纳入到线性和非线性泰勒规则中进行实证分析,结果表明拓展的前瞻性泰勒规则更能描述我国利率行为,利率能很好的反应金融形势而对产出和通胀反应不足。以通货膨胀率为转换变量对我国货币政策效果进行检验和估计表明泰勒规则是非线性的,存在LSR1模型的非线性形式,利率对通胀的反应是非对称的。对非线性进行拓展性研究表明当通胀达到一定程度时,利率和FCI指数才具有稳定关系。     

Asymmetry Effects of Exchange Rate Changes on Domestic Production in Emerging Countries

Previous studies that tried to assess the impact of exchange rate changes on domestic production of emerging economies assumed that the effects are symmetric and used a linear model to provide mixed results. In this article, we try to determine whether exchange rate changes could have asymmetric effects which amounts to using a nonlinear model. We find that the nonlinear model performs much better than the linear model and yields results that support asymmetry effects of exchange rate changes on domestic production in many of the countries in our sample, both in the short run and in the long run.     

Risk transmission from the energy markets to the carbon market: Evidence from the recursive window approach

The carbon market is an emerging trading system in the financial services sector, with its global market value increasing from $150 billion in 2010 to $851 billion in 2021. In this study, we examined the volatility transmission from the energy markets (i.e., crude oil, coal, natural gas, and biofuel) to the carbon market in Europe. Our sample period ranged from March 25, 2008, to July 17, 2020, and covered phases of different market conditions. We employed an asymmetric and unrestricted version of the bivariate GARCH-in-mean model, assuming flexible distributions within the recursive window framework. Our empirical findings indicate that (1) carbon market returns are negatively and significantly influenced by crude oil and coal market uncertainties, (2) carbon market volatility is significantly affected by crude oil and coal market volatilities, and (3) the biofuel market does not have a significant relationship with the carbon market, probably because the biofuel market is still young and immature. The results of our study could aid carbon market participants in better understanding the information and risk spillover mechanisms from the energy market to the carbon market and provide them with a basis to formulate policies and make decisions on risk management and portfolio optimization.     

Modeling time variation and asymmetry in foreign exchange exposure

Many recent studies suggest that exchange rate exposure is unstable over time and exhibits asymmetric behavior during currency appreciations and depreciations. This paper proposes a dynamic framework for the study of such questions and our empirical findings show that exchange rate exposure of U.S. stocks is time varying. Using decile and sector portfolios, we find asymmetric exposure to be pervasive across the decile portfolios as well as the financial and industrial sectors. Moreover, the response of return variance to past innovations is asymmetric for the majority of cases. The dynamic exchange rate exposure parameters are found to be mean-reverting with low persistence, generally ranging from 1 to less than 2 days. The average time-varying exposure is statistically significant for the size-based and sector-based portfolios. Lastly, the variability in the time-varying exposure is smaller (larger) for the largest (smallest) firms and for industrial (technology) firms.     

Estimating Volatility Persistence in Oil Prices Under Structural Breaks

Policy makers and financial market participants are interested in knowing how shocks affect the volatility of oil prices over time. We accurately compute the volatility persistence by incorporating endogenously determined structural breaks into a GARCH model. Contrary to previous findings, we find that oil shocks dissipate very quickly but have a strong initial impact. Understanding this behavior is not only important for derivative valuation and hedging decisions but for broader financial markets and the overall economy, for which there are significant consequences.     

Foreign exchange exposure and multinationality

We examine the relation between firms’ foreign exchange exposure and the extent of their multinationality as a proxy for operational hedging. Using a sample of 953 US firms over the period 1999–2006, we show that there is a nonlinear relation between operational and financial hedging, confirming anecdotal evidence that many highly multinational firms do not hedge with derivatives. We find that operational hedging and financial hedging are significantly inversely related to firms’ foreign exchange exposure, providing evidence that the two hedging techniques are complementary for all but the most highly operationally hedged firms. By comparing our findings for 1999–2006 with 1999–2009, we show that this complementarity breaks down when exchange rate volatility is high – as the effectiveness of financial hedging diminishes. An important message for firms is that operational hedges work, and they potentially provide better protection than financial hedging during times of stress.     

原油价格与经济政策不确定性对大宗商品市场非对称冲击效应研究

利用面板分位回归模型,考量不同市场环境下原油价格与经济政策不确定性对大宗商品市场非对称性冲击效应。结果表明：油价冲击对中国大宗商品收益的影响具有非对称性,正负油价冲击对其均有促进作用,但随着市场环境好转,正油价冲击的作用逐渐增强,负油价冲击则逐渐减弱;政策不确定性对大宗商品收益有促进作用,但在牛市环境下有抑制作用;且危机前后,油价冲击对大宗商品收益的影响存在非对称性效应。     

Crude oil price volatility and equity return predictability: A comparative out-of-sample study

We evaluate the predictive power afforded by crude oil price volatility relative to widely used variables in the financial literature, such as the dividend yield, earnings-to-price ratio, the default yield spread as well several crude oil price-based variables. From a statistical viewpoint, predictions employing the suggested crude oil price volatility-based measures display a similar pattern as predictions using dividend ratios and interest rates, namely, they have relatively weak out-of-sample power. However, we find that gains in utility for an investor that uses predictions produced under the model employing crude oil price log-realized semivolatilities are statistically significant higher than an investor relying on predictions produced under the competitors as well as the historical average benchmark. We discuss and explain the reasons for our results. Overall, we argue that it is hard not to justify more attention to crude oil price semivolatilities relative to widely used financial and macroeconomic variables.     

Is volatility clustering of asset returns asymmetric?

Volatility clustering is a well-known stylized feature of financial asset returns. This paper investigates asymmetric pattern in volatility clustering by employing a univariate copula approach of Chen and Fan (2006). Using daily realized kernel volatilities constructed from high frequency data from stock and foreign exchange markets, we find evidence that volatility clustering is highly nonlinear and strongly asymmetric in that clusters of high volatility occur more often than clusters of low volatility. To the best of our knowledge, this paper is the first one to address and uncover this phenomenon. In particular, the asymmetry in volatility clustering is found to be more pronounced in the stock markets than in the foreign exchange markets. Further, the volatility clusters are shown to remain persistent for over a month and asymmetric across different time periods. Our findings have important implications for risk management. A simulation study indicates that models which accommodate asymmetric volatility clustering can significantly improve the out-of-sample forecasts of Value-at-Risk.     

Have the predictability of oil changed during the COVID-19 pandemic: Evidence from international stock markets

The COVID-19 has undoubtfully brought fierce shocks to the real economic activities, financial market and public lives. Under this special condition, this study explores whether the predictability of crude oil futures information has changed before and during the COVID-19 pandemic for 19 international stock markets. From an in-sample perspective, we find that the crude oil futures RV can significantly affect future stock volatility for each equity index except SSEC. Moreover, the out-of-sample results from statistic and economic perspective reveal that crude oil futures RV is a more efficient predictor during the COVID-19 pandemic compared with the pre-crisis period. Furthermore, we find that the predictability of crude oil futures information is stronger from March to May 2020, when the epidemic is seriously prevailing. The empirical results from alternative evaluation method, recursive window method, alternative realized measures, controlling VIX and the seasonal effect, asymmetric forecasting window and different testing windows are robust and consistent. Our findings could offer novel and significant policy and practical implications.     

汇率波动、生产网络与股市风险--基于中美贸易摩擦背景的分析北大核心

本文从生产网络视角出发,研究中美贸易摩擦期间汇率变动对中美两国股票市场的直接影响以及由行业间生产联系带来的网络影响。从静态一般均衡模型可推出具有空间自回归(SAR)模型形式的实证模型,其中以行业间投入产出关系作为空间权重矩阵。实证结果发现,中美双边汇率变动对两国股市的影响在贸易摩擦期间均比之前更为显著,人民币贬值导致中国股市收益率下降,其中约50%是由行业间生产联系带来的网络效应,而美元升值导致了美国股市收益率下降,其中约37%是网络效应。关税制裁波及的行业与未波及行业的股票收益率均受汇率变动影响,但后者受到的网络影响更大,且各行业受到的网络影响主要由其下游行业传递。     

开放经济下的“双支柱”调控稳定效应研究

本文研究了管理浮动汇率制下我国货币政策和宏观审慎政策双支柱的调控稳定效应。首先,本文从实证层面考察了人民币汇率升贬值对央行货币政策的非对称影响。接着,本文构建了包含银行部门与货币错配的开放宏观经济模型,重点分析了在面对美联储加息、人民币贬值压力的情况下,货币政策(包括对汇率的反应)和宏观审慎政策(对外债的逆周期调节)的配合如何影响宏观经济和金融的稳定。结论表明,如果缺少宏观审慎政策的配合,货币政策对汇率的反应将导致产出、通货膨胀和资产价格等经济金融变量的波动增大。在存在宏观审慎政策的前提下,相对于完全浮动汇率制,管理浮动汇率制从中长期看能进一步促进产出和外债等核心变量的稳定。     

Oil prices and accounting profits of oil and gas companies

This paper investigates the relationship between commodity prices of crude oil, capital structure, firm size and accounting measures of firm performance using a sample of oil and gas firms from 1990 to 2008. We employ estimates based on panel least squares, a fixed effects model and a random effects model. We also use generalized method of moments (GMM) estimators by Arellano and Bond (1991) and Blundell and Bond (1998, 2000). Our findings show that crude oil prices positively and significantly impact the performance of oil and gas firms in North America using accounting measures of performance. The recent financial crisis of 2007 and 2008 negatively influenced oil prices and the financial performance of oil and gas firms. On the other hand, the earlier global crises (Asian financial crisis and 9/11) did not have a significant impact on the return on equity of oil and gas companies. Our primary contribution to the literature is a comprehensive and econometric analysis of the relation between commodity prices and accounting measures of performance oil and gas companies.     

Oil price shocks and exchange rate movements

This study investigates the effects of oil price shocks on exchange rate movements in five major oil-exporting countries: Russia, Brazil, Mexico, Canada, and Norway. The R² of the fundamental model doubles in Russia and Brazil, but increases slightly in Canada and Norway when oil prices are added to it. The volatility of exchange rates associated with oil price shocks is significant in Russia, Brazil, and Mexico, but weak in Norway and Canada. It takes much longer for the exchange rate to reach the initial equilibrium level in Russia, Brazil, and Mexico than in Norway and Canada. The asymmetric behavior of exchange rate volatility among countries seems to be related to the efficiency of financial markets rather than to the importance of oil revenues in the economy.     

Investigating the nature of interaction between crypto-currency and commodity markets

This paper investigates the dynamic relationship and volatility spillovers between cryptocurrency and commodity markets using different multivariate GARCH models. We take into account the nature of interaction between these markets and their transmission mechanisms when analyzing the conditional cross effects and volatility spillovers. Our results confirm the presence of significant returns and volatility spillovers, and we identify the GO-GARCH (2,2) as the best-fit model for modeling the joint dynamics of various financial assets. Our findings show significant dynamic linkages and volatility spillovers between gold, natural gas, crude oil, Bitcoin, and Ethereum prices. We find that gold can serve as a safe haven in times of economic uncertainty, as it is a good hedge against natural gas and crude oil price fluctuations. We also find evidence of bidirectional causality between crude oil and natural gas prices, suggesting that changes in one commodity's price can affect the other. Furthermore, we observe that Bitcoin and Ethereum are positively correlated with each other, but negatively correlated with gold and crude oil, indicating that these cryptocurrencies may serve as useful diversification tools for investors seeking to reduce their exposure to traditional assets. Our study provides valuable insights for investors and policymakers regarding asset allocation and risk management, and sheds light on the dynamics of financial markets.