Intraday effects of macroeconomic shocks on the US Dollar–Euro exchange rates

This paper characterizes the intriguing features of high frequency 15-min Dollar–Euro foreign exchange returns data. The FIGARCH model is found to be the preferred specification for the long memory volatility process in the high frequency returns. This paper then examines how macroeconomic shocks affect the high frequency Dollar–Euro returns on an intraday basis. Quantifying the intraday effects of the shocks on the high frequency returns by using a linearly distributed lag dummy variable, this paper finds that the effects on the high frequency returns are generally statistically significant and that they appear to be asymmetric depending on the regions and the signs of the shocks and to be persistent for several lags even within a day. However, the macroeconomic shocks are found not to affect the long memory property in the high frequency returns implying that the linear dummy variable model may not be enough to explain the long memory property.     

Impact of Macroeconomic Announcements on Foreign Exchange Volatility: Evidence from South Africa

This study focuses on scheduled macroeconomic news announcements and evaluates their impact on the volatility of the South African rand (ZAR) and US dollar (USD) exchange rate using high frequency data. The following asymmetries are studied: news items by geographical location, no‐news vs. surprise news announcements and positive vs. negative news announcements. We make the following findings in our empirical study: (i) After the release of a news announcement, the level of foreign exchange volatility rises. This is independent of whether the news item surprised the market or not. (ii) Both South African and US news items significantly impact USD/ZAR volatility, suggesting that the news items are being used to formulate investor expectations regarding the future prospects of the currency pair. (iii) Negative news appears to have a greater impact on exchange rate volatility relative to positive news. This result is also state dependent, as investors tend to behave differently to news depending on the economic climate at that point in time. Investor cognitive biases give rise to the asymmetric news effects on exchange rate volatility. Finally, investors do not always act in rational manner, especially when faced with multiple news items that are contradictory to each other.     

Asymmetries and state dependence: The impact of macro surprises on intraday exchange rates

This paper investigates the possible asymmetric response of 5-min intraday JPY/USD exchange rates to macroeconomic news announcements during 1999–2006 when the Japanese money market interest rate was effectively zero. This period provides a unique institutional setting when interest rates may rise but not decline, thereby constraining both endogenous policy reactions to news and private market expectations. Asymmetric responses to news, to the extent that they are important in exchange rate markets as they are in equity markets, would seem particularly likely to be evident during this period. We consider several ways asymmetric responses may be manifested and linked to macroeconomic news during this unusual period. We assess whether the intraday exchange rate responds differently depending on whether the news is emanating from Japan or the US; we consider the state of the business cycle; and we distinguish between “good” and “bad” news.     

日元升值预期下日本国际投资策略与特点

1971年至1995年期间,日元处于急剧升值阶段,在此之后的十多年里日元升跌互见,整体波动缓和,2008年初以来日元持续升值。在日元升值预期的作用下,自20世纪90年代以来,日本加大了海外直接投资的力度,近2/3的资金流向了经济比较发达的国家和地区。与海外直接投资相比,日本的证券投资规模较大,占海外资产总额的近五成,其投资组合策略注重汇率风险管理,始终保持了一贯的连续性,重视资产的安全性和回报率。日本也加快了以其他方式向海外输出资本的步伐,按照国际收支状况的统计口径,这些投资包括对外贷款、贸易信贷、货币及存款和其他资产,其规模仅次于海外证券投资。研究表明,日本的海外投资区域分布和币种选择体现了分散投资、降低风险的特点,也在较大程度上降低了汇率风险。     

Effects of Japanese macroeconomic statistic announcements on the dollar/yen exchange rate: High-resolution picture

Using high-frequency transaction data of the actual trading platform, we examine market impact of Japanese macroeconomic statistics news within minutes of their announcements on the dollar/yen exchange rate. Macroeconomic statistics surprises that consistently have significant effect on dollar/yen returns include Tankan (business condition survey conducted by Bank of Japan), GDP, industrial production, price indices and balance of payment. The announcement itself, in addition to the magnitude of the surprise, is found to increase the number of deals and price volatility immediately after the announcement. Most effects, when significant, take place within 30 min of statistics announcements.     

The Fed’s reaction to the stock market during the great depression: Fact or artefact?

A notable feature of the 1920s and 1930s is the volatility in several key macroeconomic aggregates, and this feature used to econometrically identify the reaction of the Fed to stock market developments. The volatility of economic activity may have contributed to deepening the divisions among policy-makers about how the Fed ought to respond to stock price developments. Relying on the technique of [Rigobon, R. 2003. Identification through heteroskedasticity. Review of Economics and Statistics 85, 777–792], volatility is used as an instrument to estimate the Fed’s response to the stock market. Other identification assumptions based on structural VARs produce compatible results. Fed behavior appeared to have changed following the stock market crash of 1929. Consistent with the Riefler-Burgess doctrine, interest rates and stock returns are negatively related. I conclude that, prior to the stock market crash of 1929, a form of benign neglect explains Fed behavior. Thereafter, the Fed reacts only slightly more aggressively to stock market developments.     

The Euro and Other Major Currencies Floating Against the U.S. Dollar

This paper discusses the interdependent effects of conditional volatilities in returns of the Euro and other major currencies against U.S. dollar exchange rates (spot rates) since the launch of the Euro, using, for this purpose, the daily data and dynamic conditional correlation (DCC)–GARCH model with country-specific effects. The following conclusions are drawn: there are volatility spillovers (contemporaneous and lagged) in the Euro, Yen, and British pound, the degree of the correlation is high between the Euro and British pound against the U.S. dollar, there is a very strong association between the ECB Euro reference rate (fixing rates) and U.S.-traded spot rates, and finally, the impulse-response of volatility (after the accession of new Member States to the European Union) rapidly diminishes in the spot markets, indicating a short-run dynamic effect.     

Fractal structures and naive trading systems: Evidence from the spot US dollar/Japanese yen

This study investigates whether daily logarithmic returns on the spot US dollar/Japanese yen (USD/Yen) for the period 3 March 1987 to 8 September 1993 displayed an underlying fractal structure. The analysis employed a rescaled range (R/S) technique, and revealed USD/Yen persistence which favoured continued depreciation of the USD. The results suggest the presence of time or memory effects in the currency. These effects were arbitrageable by speculators who by holding long Yen positions were able to earn positive returns.     

Exchange rate exposure of sectoral returns and volatilities: Evidence from Japanese industrial sectors

Most studies of exchange rate exposure of stock returns do not address three relevant aspects simultaneously. They are, namely: sensitivity of stock returns to exchange rate changes; sensitivity of volatility of stock returns to volatility of changes in foreign exchange market; and the correlation between volatilities of stock returns and exchange rate changes. In this paper, we employ a bivariate GJR-GARCH model to examine all such aspects of exchange rate exposure of sectoral indexes in Japanese industries. Based on a sample data of fourteen sectors, we find significant evidence of exposed returns and its asymmetric conditional volatility of exchange rate exposure. In addition, returns in many sectors are correlated with those of exchange rate changes. We also find support for the “averaged-out exposure and asymmetries” argument. Our findings have direct implications for practitioners in formulating investment decisions and currency hedging strategies.     

Japanese foreign exchange intervention: A tale of pattern,size, or frequency

This paper contributes to the debate of the efficacy of different patterns of foreign exchange intervention (FXI). Daily data on the Japanese foreign exchange intervention and the Yen/Dollar exchange rates among other macroeconomic variables over the period 1992–2004, in an EGARCH time series model is used to measure the impact of intervention on both the level and volatility of the exchange rate. This paper offers two important results in regard to the effectiveness of the Japanese FXI. First, this study tests whether the pattern of FXI leads to conflicting outcomes with respect to the desired level and volatility of the exchange rates. Second, this study examines the asymmetric impact of the frequency and size of the Japanese FXI on the level and volatility of the exchange rate. This paper finds that successful depreciation of the yen has always been achieved at the expense of higher volatility, a result that supports the conflicting outcomes of the Japanese FXI. In addition, the frequency of intervention is found to be a crucial factor in affecting the level of the exchange rate while the size of intervention is more influential in affecting its volatility.     

Long memory volatility dependency,temporal aggregation and the Korean currency crisis: the role of a high frequency Korean won (KRW)–US dollar ($) exchange rate

Using a new type of 5 min high frequency dataset consisting of real time Korean won (KRW)–US dollar ($) exchange rates, this paper characterizes the volatility process of high frequency returns. The semi-parametric local Whittle estimation is applied to estimate the long memory dependency in the volatility process of the 5 min KRW–$ returns and the temporally aggregated returns data. The estimation results present that the underlying long memory dependency in the volatility process appears to be generally consistent across various temporally aggregated returns and that the exogenous shocks and the multiple breaks associated with the crisis in the market seem to induce greater long memory dependency during the crisis.     

Exchange-rate policy in East Asia after the fall: how much have things changed?

This paper evaluates the changes in the exchange-rate policies of East Asian economies in the aftermath of the currency crisis and the process in which the exchange-market stability was re-established. The empirical analysis evaluates the changing roles of the yen and the US dollar in the currency baskets, the shifts in the volatility of the underlying macroeconomic fundamentals and their implications on exchange-rate management, the exchange-market perception of credibility and risk of the postcrisis exchange-rate regimes, and the process of reversion to fundamental values after the massive currency depreciation.The analysis shows that after the abandonment of the quasi-dollar peg, the yen had gained a greater weight in the currency baskets and the greater flexibility in which the exchange rates are being managed serve to accommodate the greater volatility in the macroeconomic fundamentals. The improvement in the macroeconomic conditions and the greater credibility that has been acquired by the regional monetary authorities had allowed the exchange market to stabilize and enabled the exchange rates to revert back to their fundamental values.     

Do Monetary Policy Announcements Affect Exchange Rate Returns and Volatility of Returns? Some Evidence from High‐Frequency Intra‐Day South African Data

This paper examines the temporal effect of domestic monetary policy surprises on both returns and volatility of returns of the South African rand/U.S. dollar exchange rate. The analysis in this “event study” proceeds using intra‐day minute‐by‐minute exchange rate data, repo rate data from the South African Reserve Bank's scheduled monetary policy announcements, and market consensus repo rate forecasts. A carefully selected sample over the period August 2003 to November 2017 ensures that the change in monetary policy is exogenous to the exchange rate. We find statistically and economically significant responses in intra‐day high‐frequency South African rand/U.S. dollar exchange rate returns and volatility of exchange rate returns to domestic interest rate surprises, but anticipated changes have no bearing on exchange rate returns and their volatility. The empirical results also indicate that there is an instantaneous response of the rand/dollar exchange rate to monetary policy surprises and that monetary policy news is an important determinant of the exchange rate until at least 42 minutes after the pronouncement – suggesting a high degree of market “efficiency” in its mechanical sense (although not necessarily in the deeper economic‐informational sense) in processing this information. Essentially, the asymmetric GARCH results exhibit no leverage effects – positive and negative information shocks have symmetric effects on conditional variance.     

Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test

Recent studies have analysed the ability of measures of uncertainty to predict movements in macroeconomic and financial variables. The objective of this paper is to employ the recently proposed nonparametric causality-in-quantiles test to analyse the predictability of returns and volatility of sixteen U.S. dollar-based exchange rates (for both developed and developing countries) over the monthly period of 1999:01–2012:03, based on information provided by a news-based measure of relative uncertainty, i.e., the differential between domestic and U.S. uncertainties. The causality-in-quantile approach allows us to test for not only causality-in-mean (1st moment), but also causality that may exist in the tails of the joint distribution of the variables. In addition, we are also able to investigate causality-in-variance (volatility spillovers) when causality in the conditional-mean may not exist, yet higher order interdependencies might emerge. We motivate our analysis by employing tests for nonlinearity. These tests detect nonlinearity, as well as the existence of structural breaks in the exchange rate returns, and in its relationship with the EPU differential, implying that the Granger causality tests based on a linear framework is likely to suffer from misspecification. The results of our nonparametric causality-in-quantiles test indicate that for seven exchange rates EPU differentials have a causal impact on the variance of exchange rate returns but not on the returns themselves at all parts of the conditional distribution. We also find that EPU differentials have predictive ability for both exchange rate returns as well as the return variance over the entire conditional distribution for four exchange rates.     

Effect of exchange rate return on volatility spill-over across trading regions

This paper examines the effect of realized exchange rate returns on the volatility spill-over between the euro–US dollar and US dollar–yen currency pairs across the five trading regions: Asia, Asia–Europe overlap, Europe, Europe–America overlap and America. Modelling the interaction between returns and volatility in an autoregressive five-equation system, we find evidence that depreciation of the US dollar against the yen has a greater impact on the US dollar–yen volatility spill-over than appreciation in the subprime crisis period. Appreciation and depreciation of the US dollar against the euro does not appear to have an asymmetric effect on the euro–US dollar volatility spill-over. Our results support the notion that the yen may have been preferred to the euro as a ‘safe-haven’ currency relative to the US dollar during the subprime crisis period.     

Inflationary shocks and real output growth in nine Muslim-majority countries: Implications for Islamic banking and finance

Low and stable inflation is important for maintaining the viability of Islamic banking and finance within a dual banking system. Inflationary shocks when transmitted to real output growth cause a shift of investment to fixed return products as a hedge against the uncertainty of returns on equity investment under Islamic profit-loss sharing contracts. This study examines the transmission of inflationary shocks to the real economy for nine Muslim-majority countries (Bahrain, Bangladesh, Egypt, Indonesia, Iran, Malaysia, Pakistan, Saudi Arabia, and Turkey) that have introduced Islamic banking, all except Iran within dual-banking systems. A structural vector autoregressive (SVAR) framework is deployed to understand macroeconomic relationships using annual data from the late 1970s to 2014. The key finding is that inflationary shocks affect real interest and exchange rates which in turn impact real output growth. The paper argues that the absorption of inflationary shocks in real interest and exchange rates is the outcome of rigidities in nominal interest and exchange rates within repressed financial systems. Policy regimes that allow for greater adjustment in nominal interest and exchange rates under a deregulated financial system would offer better shock absorption capacity which would lead to less volatility in inflation, real interest and exchange rates, and real output growth. The resulting more stable macroeconomic environment would be more conducive to the development of an Islamic financial sector that would promote economic growth.     

Modelling the volatility of commodities prices using a stochastic volatility model with random level shifts

We use the approach of Qu and Perron (Econom J 16(3):309–339, 2013) for the modeling and inference of volatility of a set of commodity prices in the presence of random level shifts of unknown timing, magnitude and frequency. Our approach contributes to the study of commodities in several aspects. First, we test for the presence of a genuine long-memory process in the volatility of commodities. Second, we determine that the random level shifts are certainly the main source of variation in the commodity price volatility. Finally, we estimate the volatility and its components as latent variables, thereby making it possible to evaluate their level of correlation with macroeconomic variables in small open economies such as Latin-American countries where the dependence on commodity price volatility is high. We use six commodity series: agriculture, livestock, gold, oil, industrial metals and a general commodity index. All series cover the period from January 1983 until December 2013 in daily frequency. The results show that although the occurrence of a level shift is rare, (about once every 1.5 or 1.8 years), this component clearly contributes most to the variation in the volatility. Furthermore, isolating the level shift component from the overall volatility indicates a strong relationship of this component with a set of business cycle indicators of several Latin American countries.     

Market microstructure and price discovery on the Tokyo Stock Exchange

This paper compares the price discovery processes at the opening and closing transactions for the fifty largest stocks trading on the Tokyo Stock Exchange. Open-to-open returns are found to have a greater volatility and a more negative autocorrelation pattern than close-to-close returns, similar to the pattern we found on the New York Stock Exchange. The results are consistent with pricing over-reaction at the opening and partial price-adjustment at the close. These patterns persist over time and prevail when estimated for returns conditional on the contemporaneous market effect. Our analysis of daytime and overnight returns suggest that pricing errors at the opening are corrected over the trading day. We present a new measure of volatility — the relative dispersion of stock returns around the market return — and find that it is greater at the opening, consistent with a more noisy price discovery process.     

MACROECONOMIC UNCERTAINTY AND CONDITIONAL STOCK MARKET VOLATILITY IN SOUTH AFRICA*

This paper analyses how systematic risk emanating from the macroeconomy is transmitted into stock market volatility using augmented autoregressive Generalised Autoregressive Conditional Heteroscedastic (AR‐GARCH) and vector autoregression (VAR) models. Also examined is whether the relationship between the two is bidirectional. By imposing dummies for the 1997‐1998 Asian and the 2007‐2009 sub‐prime financial crises, the study further analyses whether financial crises affect the relationship between macroeconomic uncertainty and stock market volatility. The findings show that macroeconomic uncertainty significantly influences stock market volatility. Although volatilities in inflation, the gold price and the oil price seem to play a role, it is found that volatility in short‐term interest rates and exchange rates are the most important, suggesting that South African domestic financial markets are increasingly becoming interdependent. Finally, the results show that financial crises increase volatility in the stock market and in most macroeconomic variables, and, by so doing, strengthen the effects of changes in macroeconomic variables on the stock market.     

Brazil as a debtor, 1824–19311

Internal rates of return of Brazilian loans floated between 1824 and 1931 fell below those of British and US government consols and bonds only for some of the loans floated after the beginning of the twentieth century. Higher volatility of yearly rates of return was rewarded by higher returns for all Brazilian Federal loans. Their spreads over consols in 1824–1943 are compared to those of Argentina and Chile and of Brazilian state and municipal loans for 1888–1930. In spite of some deterioration over time, Brazilian loans had a better performance than suggested by the literature, especially in the 1920s.