Cointegration test of oil price and us dollar exchange rates for some oil dependent economies

This study examines the long-run dynamics between oil price and the bilateral US dollar exchange rates for a group of oil-dependent economies before and after the 2008–2009 Global Financial Crises. Exchange rates are for the euro, Indian rupee, Russian ruble, South African rand, Ghanaian cedi and the Nigerian naira. The dependence on crude oil of these economies is either because fiscal revenues are primarily reliant on oil export receipts or because industrial production is heavily dependent on petroleum. Empirical results show evidence of a long run equilibrium relationship between oil price and exchange rate, especially for currencies of the key oil-exporting countries. This relationship is more evident in the post crisis period, which is also the period when both exchange rate volatility and the inverse relationship between oil price and exchange rate experienced a significant increase.     

Does oil price have similar effects on the exchange rates of BRICS?

Motivated by the crucial status of oil price and exchange rates in world finance and economy, we apply daily data from August 2005 to February 2019 to investigate the impact of oil price shocks on the exchange rate of BRICS countries. This paper first adopts a new framework and EEMD method to decompose oil shocks and exchange rate series, respectively. With these econometric methods, the final research variables in this paper are constructed, including two types of oil shocks and three kinds of exchange rate series. The ARDL approach and VAR model are then employed to detect the influence of oil shocks on exchange rates in different frequencies, corresponding to the stationarity of series. The evidence, based on the original exchange rate series reveals that two oil price shocks can produce different effects on net oil-importing countries and net oil-exporting countries, while the results from different frequencies show that exchange rates will have a significant response to oil shocks only at a high frequency. It is worth noting that China is a unique case in BRICS, the relations between its exchange rate and oil price shocks is far insignificant than that of the other countries.     

An Examination of the Short-Term and Long-Term Behavior of Foreign Exchange Rates

This study employs the heteroskedasticity-robust variance ratio test and the modified rescaled range analysis to examine the short-term and long-term behavior of foreign exchange rates. The empirical results suggest that four of the five weekly nominal exchange rates examined exhibit short-term dependence. Further, there is evidence of long-term dependence in the nominal exchange rate series. The results also indicate that the real exchange rates generally exhibit short-term independence, and the lack of strong evidence in favor of long-term dependence in real exchange rates indicates that the purchasing power parity may not hold in the long run.     

Causality-in-mean and causality-in-variance among electricity prices,crude oil prices,and yen–US dollar exchange rates in Japan

In this study, we test the Granger-causality-in-mean and Granger-causality-in-variance among electricity prices, crude oil prices, and yen-to-US-dollar exchange rates in Japan using a cross-correlation function approach. We find Granger-causality-in-mean from neither the exchange market nor the oil market to the power market; the same was true of Granger-causality-in-variance, although both the exchange rates and oil prices greatly influence power generation costs in Japan. We suspect the efficiency of this market is at play.     

Oil commodity returns and macroeconomic factors: A time-varying approach

This paper analyses the dynamic influence of macroeconomic factors on oil commodity returns (crude oil and heating oil) shown in monthly data over the period of 1990–2013. Using a time-varying parameter model via the Kalman filter, we find that macroeconomic factors are relevant for explaining oil commodity returns. We find that multilateral exchange rates have a negative effect on commodity returns. We confirm the existence of a strong linkage between energy and non-energy commodities. More importantly, we find shifts in global demand and SP500 effects that are not identified through the constant parameter model. These variables have had a progressively positive effect on oil commodity returns, especially since 2008.     

The dynamics of economic growth,oil prices,stock market depth,and other macroeconomic variables: Evidence from the G-20 countries

This paper examines the linkages between economic growth, oil prices, depth in the stock market, and three other key macroeconomic indicators: real effective exchange rate, inflation rate, and real rate of interest. We employ a panel vector autoregressive model to test Granger causality for the G-20 countries over the period 1961–2012. A novel approach to this study is that we clearly demarcate the long-run and short-run relations between the economic variables. The results show a robust long-run economic relationship between economic growth, oil prices, stock market depth, real effective exchange rate, inflation rate, and real rate of interest. In the long run, real economic growth is found to respond to any deviation in the long-run equilibrium relationship that is found to exist between the different measures of stock market depth, oil prices, and the other macroeconomic variables. In the short run we find a complex network of causal relationships between the variables. While the empirical evidence of short-run causality is mixed, there is clear evidence that real economic growth responds to various measures of stock market depth, allowing for real oil price movements and changes in the real effective exchange rate, inflation rate, and real rate of interest.     

Oil price and FX-rates dependency

Oil prices and exchange rates against the dollar have both experienced long swings over the recent decade. Regardless of the great amount of research, some issues are still open to debate. In this vein, this paper focuses on the evolution of the relationship between oil prices and dollar exchange rates of 12 oil exporting and oil importing countries based on a dynamic copula approach. We use daily data for two 5-year periods between 2003 and 2013, taking the collapse of Lehman Brothers as the dividing point. Our results have four main implications: first, the intensity of relationship between oil prices and FX-rates has increased over time even if the peak of the financial crisis is included. Second, the increased tail dependency shows that extreme events are likelier to occur simultaneously for both series. Third, the dependency has become more dynamic after the financial crisis and is therefore better characterized by time-varying copulas. Finally, currencies of oil importers and oil exporters display a different dependency structure against the US dollar in the case of rising oil prices with the latter appreciating and the former depreciating.     

A Mixed Dependence Between the Exchange Rate and International Crude Oil Returns: An Application of Dynamic Mixture Copula

In this study, the dynamic dependence between the international crude oil return and the exchange rate return for Taiwan is examined. Two mixture copulas (symmetric Joe–Clayton, SJC, and mixture of Gumbel and survival Gumbel, GSG) and two dynamic dependences (a Markov-switching type and an AR-like type) are considered in order to study whether the dynamic dependence is mixed and asymmetric. The empirical results show that the Markov-switching GSG copula performs the best when compared to other specifications investigated in this article. The relationship is positive and symmetric during periods of volatile crude oil prices, while it is independent during periods of stable crude oil prices.     

Black Market Premia, Exchange Rate Unification, and Inflation in Sub-Saharan Africa

World Bank and International Monetary Fund (IMF) programs favorunification of official and black market exchange rates on theargument that multiple exchange rates misallocate resources.This article shows that such policy advice sometimes overlooksan important consideration: when multiple rates are a meansof taxation, the widened deficit from unification increasesinflation. This article uses the experience of Ghana, Nigeria,and Sierra Leone to illustrate the tradeoff between the benefitsof unification for resource allocation and its costs for inflation.     

Oil Prices and Monetary Policy in Emerging Markets: Structural Shifts in Causal Linkages

This study tests the causal relationships between oil prices and monetary policy for the emerging markets (Brazil, India, Indonesia, South Africa, and Turkey). In particular, we explore the role of exchange rates, inflation, and interest rates. First, we utilize the commonly used Toda–Yamamoto causality framework and later augment the model to account for structural shifts—including gradual/smooth shifts. The empirical findings show that (i) accounting for gradual structural shifts matter for the causal linkages between oil prices and the monetary policy variables and (ii) employing a bivariate or multivariate frameworks is not important (with few exceptions) as much as controlling for structural breaks in these causal linkages.     

The Core,Periphery, and Beyond: Stock Market Comovements among EU and Non‐EU Countries

Using linear and nonlinear correlations, copulas, quantile dependence and lower tail dependence, we find that (1) equity markets of the advanced European Union (EU) countries comove more closely with each other than with the peripheral economies, (2) comovements with non‐EU countries are lower, (3) relative comovement structure before, during, and after the global financial crisis has been very stable, and (4) the level of comovements remained virtually the same between the crisis and post‐crisis periods. Our results are robust to controlling for Fama‐French, U.S. and global risk factors, as well as monetary policy, market interest rates, exchange rates, and uncertainty.     

Beyond the purchasing power parity: testing for cointegration and causality between exchange rates, prices, and interest rates

This paper reexamines the causality between the dollar and the yen in a multivariate framework with the aid of cointegration and error-correcting modeling for the 1951–94 period. The Phillips-Perron tests and Johansen's tests are performed. While causality from interest rates to exchange rates is found in the short run, no causality between prices and exchange rates is found in the short run. However, causality is found running from relative prices to exchange rates along with interest rates between the U.S. and Japan in the long run, which supports the long-run PPP hypothesis.     

Exchange rate variability and monetary policy under rational expectations: Some Euro-American experience 1973–1979

We analyze the sources of changes in nominal and real rates of exchange between six European currencies and the U.S. dollar. We conclude that over the period 1973–1979 unexpected changes in the price of oil, together with unanticipated monetary shocks at home or in the U.S. were the most important causes of changes in exchange rates. A multi-state Kalman filter technique is used to compute empirical proxies for unanticipated changes in the exogenous variables. Since both oil price shocks and changes in U.S. monetary trends effect the European currencies in different degrees, it follows that differential domestic rates of inflation are not the only reason why arrangements to restrict exchange rate fluctuations, such as the European Monetary System, may run into trouble.     

Spot rates,forward rates and exchange market efficiency

This paper examines the relationship between forward exchange rates and subsequently observed spot rates. No evidence is found for a liquidity premium on forward exchange, indicating that the forward rate can be used as a proxy of the market's expectations and that open exchange positions involve little systematic risk. It is also shown that forward exhange is priced as if the exchange rate could be characterized by a diffusion process with a trend, although there is some evidence such a process does not adequately characterize the exchange rate in all cases.     

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).     

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.     

Threshold cointegration,nonlinearity, and frequency domain causality relationship between stock price and Turkish Lira

Modelling complex asymmetric effects and non-linear relationships between exchange rate and stock prices has challenged classical econometric methods. This study contributes to the relative literature in the following distinct ways. First, we follow a variety of econometric approaches in order to characterize the complex dynamic co-movements between Turkish stock market and exchange rate from January 2003 to December 2018. Secondly, we show that the evidence for asymmetric threshold cointegration in Turkey’s financial market can be hidden by following linear time series methodologies. Thirdly, it is also worth noting that the real effective exchange rate, USD-Turkish lira exchange rates, money supply and interest rates have large predictive power for stock price fluctuations at various frequencies. Building on these insights, we claim that asymmetry (nonlinearity) is particularly important in Turkey’s financial market because it shows the need for a new pattern of policy measures to prevent financial market crisis risk in Turkey.     

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.     

Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method

This study combines the variational mode decomposition (VMD) method and static and time-varying symmetric and asymmetric copula functions to examine the dependence structure between crude oil prices and major regional developed stock markets (S&P500, stoxx600, DJPI and TSX indexes) during bear, normal and bull markets under different investment horizons. Furthermore, it analyzes the upside and downside short- and long-run risk spillovers between oil and stock markets by quantifying three market risk measures, namely the value at risk (VaR), conditional VaR (CoVaR) and the delta CoVaR (∆CoVaR). The results show that there is a tail dependence between oil and all stock markets for the raw return series. By considering time horizons, we show that there is an average dependence between the considered markets for the short-run horizons. However, the tail dependence is also found for the long-run horizons between the oil and stock markets, with the exception of the S&P500 index which exhibits average dependence with the oil market. Moreover, we find strong evidence of up and down risk asymmetric spillovers from oil to stock markets and vice versa in the short-and long run horizons. Finally, the market risk spillovers are asymmetric over the time and investment horizons.