Investigating Intraday Interdependence Between Gold,Silver and Three Major Currencies: the Euro,British Pound and Japanese Yen

In this study, the interrelationship between major exchange rate returns (namely EUR/USD, GBP/USD, JPY/USD) and precious metal returns (gold and silver) is examined using a vector autoregressive model in a multivariate asymmetric GARCH framework on the intraday frequency. Our findings indicate a unidirectional volatility transmission from the majority of our currencies (EUR/USD, GBP/USD) to precious metals. The sluggish response of silver volatility to currency volatility shocks permits implementation of intraday profitable strategies, providing implications against market efficiency when analyzing intraday data. In the case of the British pound and Japanese yen, a volatility shock affects silver volatility more than gold volatility. Crisis events such as the Greek default and US credit rating downgrade reduce significantly the correlation of EUR/USD and gold/silver. The covariance between EUR/USD and silver increases after a volatility shock in EUR/USD. The same happens with JPY/USD and silver. These findings are important for portfolio managers and monetary authorities.     

Intraday return and volatility relationships between the Ibex 35 spot and futures markets

This paper analyses the intraday lead-lag relationships between returns and volatilities in the Ibex 35 spot and futures markets. Using hourly data, we jointly analyze the interactions between markets, estimating a bivariate error correction model with GARCH perturbations which captures stochastically the presence of an intraday U-shaped curve for both spot and futures market volatility. Our findings show a bidirectional causal relationship between market volatilities, with a positive feedback. This two-way transmission of volatility is consistent with market prices evolving according to a long-run equilibrium relationship, and shocks affecting both markets in the same direction. Our empirical results also support a unidirectional cross interaction from futures to spot market returns. This pattern suggests that the futures market leads the spot market in order to incorporate the arrival of new information.     

Are exchange rates interdependent? Evidence using wavelet analysis

We examine the co-movement in daily returns of USD–INR, EUR–INR, GBP–INR, and JPY–INR currency pair futures contracts traded on the National Stock Exchange of India (NSE) using the wavelet cohesion approach. This study contributes to the literature by examining the scantly studied area of co-movement in exchange rates and using the wavelet approach, which allows us to analyse time–frequency-wise co-movement of the time series. The empirical results indicate that the currency futures markets are nearly perfectly integrated in the long run (monthly, quarterly and biannual scales) offering little potential gains from international portfolio diversification. The discrepancies between currency futures markets are small and almost fade away within 3–6 months. Moreover, international currency diversification might offer relatively higher potential gains at intraweek, weekly, and fortnightly time horizons owing to lower correlations among the currencies under consideration. Finally, our multiple-wavelet correlation and cross-correlation analysis shows that GBP acts as a potential leader/follower across scales. The results of our analysis indicate the dynamic pattern of co-movement among the major currency futures contracts, which provides several implications for portfolio managers and international investors participating in the Indian market.     

Intraday hedging with financial options: the case of electricity

As market intermediaries, electricity suppliers purchase electricity from the wholesale market or self-generate to deliver their customers. However, electricity suppliers are uncertain about how much electricity their residential customers will use at any hour of the day until they actually turn switches on. While demand uncertainty is a common feature of all commodity markets, suppliers generally rely on storage to manage it. Singularly, electricity suppliers are exposed to joint volumetric and price risk on an hourly basis given the physical attributes of electricity. In the literature on electricity markets, few articles compare the efficiency of forward contracts, options and physical assets (i.e. power plants) within intraday hourly hedging portfolios, whereas electricity markets are precisely hourly markets. We analyse portfolios made of forwards, options and/or power plants for specific hourly clusters (9 am, 12 pm, 18 pm, 9 pm) based on electricity market data from 2013 to 2015 from the integrated German–Austrian spot market. Through a VaR model, we prove that intraday hedging with forwards is structurally inefficient compared to financial options and physical assets, no matter the cluster hour. Moreover, our results demonstrate the contribution of ‘out of the money’ options for all hours within volatile spot markets.     

管理者交易的市场择时能力对市场有效性的影响

管理者卖出和买入公告对股票市场具有一定的影响,以管理者卖出交易和买入交易为公告样本进行实证分析,检验公告当日及给定事件期超额收益的显著性.结果显示:卖出公告样本反对半强式有效假说,管理人能够“卖高”,获得超额收益；而买入公告样本支持半强式有效假说,管理者不能够“买低”,在公告日和事件期都不能获得超额收益.     

Volatility spillovers and determinants of contagion: Exchange rate and equity markets during crises

We study the hourly volatility spillover between the equity markets of New York (DJI), London (FTSE 100) and Tokyo (N225) and their exchange rates (USD, EUR, GBP and JPY) for the period of 2001 through 2013 covering the non-crises period, the global financial crisis and the euro debt crisis. First, we find a general increase in spillover between the equity and exchange rate markets during the crisis periods. Second, pure contagion (attributable to irrational investors’ behavior) and fundamental contagion (measured by macroeconomic fundamentals) explains the increased spillover between the FTSE 100, N225 to the DJI during the global financial crisis and from the exchange rate markets to the DJI during the euro debt crisis.     

The Effects of US Macroeconomic Surprises on the Intraday Movements of Foreign Exchange Rates: Cases of USD-EUR and USD-JPY Exchange Rates

This paper characterizes the intraday dynamics of the high frequency US Dollar (USD)–Euro (EUR) and US Dollar (USD)–Japanese Yen (JPY) foreign exchange rates that have been subject to macroeconomic fundamentals. Even though the FIGARCH model with a normality assumption is found to be a good starting point, it appears to be inappropriate to represent the underlying movements of the high frequency returns due to the occurrences of jumps. Hence, this paper relies on the FIGARCH model with the mixture distribution that allows for the time-varying jumps that are determined by the US macroeconomic surprises. This paper generally finds that the US macroeconomic surprises are closely related to the intraday movements in the volatility process of the high frequency returns process through the jumps. In particular, the US macroeconomic surprises appear to affect the movements in the volatility process of the foreign exchange rates asymmetrically depending on the signs of the surprises and spuriously increasing the long memory persistence in the volatility process due to the jumps.     

汇率收益率及其收益波动率存在长记忆性吗?——基于人民币汇率和欧元汇率的经验分析

长记忆性研究一直是金融实证研究的一个热点,但过去多数研究主要集中于资本市场。汇率收益率的长记忆性将影响外汇市场的有效性,汇率收益波动率的长记忆性则可能对汇率风险及汇率未来变化产生作用。基于此,本文选择人民币兑美元汇率、欧元兑美元汇率作为研究对象,运用经典重标极差分析法、重标方差分析法及小波方差分析法分别考察它们的收益率和收益波动率序列的长记忆性。研究结果表明:人民币汇率收益率存在长记忆性,而欧元汇率收益率不存在长记忆性;两种汇率收益波动率都存在显著的长记忆性特征,但人民币汇率收益波动率的非周期循环天数长于欧元汇率收益波动率。结论说明了欧元汇率发展的成熟以及人民币汇率形成机制的相对低效,并为追踪汇市行为特征及制定外汇政策提供了新的视角。     

不完备市场下的远期结售汇定价问题研究

本文在研究人民币汇率形成机制改革后远期结售汇市场开放进程的基础上,认为市场不完备和定价不合理成为制约远期结售汇业务发展的主要原因。通过对远期结售汇合同签约金额和定价进行相关性分析后,我们借鉴Black-Scholes模型,建立了远期结售汇定价模型,分析了市场不完备对远期结售汇定价的影响,并提出相关对策建议。     

Testing for efficiency in selected developing foreign exchange markets: An equilibrium-based approach

This paper proposes an alternative way of testing FOREX efficiency for developing countries. The FOREX market will be efficient if fully reflects all available information. If this holds, the actual exchange rate will not deviate significantly from its equilibrium rate. Moreover, the spot rate should deviate from its equilibrium rate by only transitory components (i.e. it should follow a white noise process). This test is applied to three Central and Eastern European Countries — members of the EU. Considering an LSTAR model we find no evidence of nonlinear adjustment in the misalignment series. So, linear unit root tests imply that the Poland/Euro FOREX market is efficient, the Czech/Euro FOREX market is not, while the Slovak/Euro FOREX market is quasi-efficient.     

Volatility and Spillover Effects of Yen Interventions

We consider the effects of interventions by the Bank of Japan's (BoJ) on the intraday volatility of the US dollar/Japanese yen (USD/JPY) exchange rates and their spillovers to volatility of the euro/JPY exchange rates. We use 15‐minute data during the period 2000–2004 and employ multivariate generalized autoregressive conditional heteroskedasticity (GARCH) modeling and quartile plots of intraday volatility to analyze the intraday effects of the BoJ interventions on exchange rate volatility. The results indicate that the BoJ interventions decrease daily volatility of the USD/JPY exchange rate but increase the volatility of the euro/JPY series. On intervention days, the intraday volatility has different patterns to those on non‐intervention days.     

AN OVER‐THE‐COUNTER APPROACH TO THE FOREX MARKET

The foreign exchange (FOREX) market is an over‐the‐counter market characterized by intermediation and significant bid–ask spreads. However, most of the existing international macroeconomics literature models the FOREX as a standard Walrasian market. This article constructs a dynamic general equilibrium model of intermediation in the FOREX market. We use our framework to compute standard measures of FOREX liquidity, such as bid–ask spreads and trade volume, and study how they are affected by macroeconomic fundamentals and market microstructure. We also study how FOREX market microstructure affects the volume of international trade and, consequently, welfare. Our empirical exercise offers support to the models' main predictions.     

Idiosyncratic volatility and the cross-section of anomaly returns: is risk your Ally?

Due to arbitrage risk asymmetries, the relationship between idiosyncratic risk and expected returns is positive (negative) among overpriced (underpriced) stocks. We offer a new active anomaly-selection strategy that capitalizes on this effect. To this end, we consider 11 equity anomalies in the U.S. market for years 1963–2016. Buying (selling) long (short) legs of the anomaly portfolios with the highest idiosyncratic volatility produces monthly abnormal returns ranging from 0.97% to 1.14% per month, outperforming a naive benchmark that equally weights all the anomalies by 45–70%. The effect cannot be subsumed by any other established anomaly-return predictor, such as momentum or seasonality. The results are robust to many considerations, including different numbers of anomalies in the portfolios, subperiod analysis, as well as estimation of idiosyncratic risk from the alternative models and throughout different periods.     

外汇市场深度、网络外部性与美元的国际地位——基于分国别与地区面板数据的实证研究

尽管美元的未来存在不确定性,但从现况来看尚无任何货币具备超越美元的实力,对美元地位的短期走势并不能作出简单的判断.作者运用面板数据模型对美元国际地位的影响因素进行了实证分析.结果表明,一国外汇市场的发达程度对美元国际地位的确定产生了重要的正面影响:一国外汇市场越发达,其越青睐于持有美元;另外在动态面板数据模型中,前一期外汇市场的实际货币交易量也是决定美元国际地位的显著因素,并且前-期外汇市场的实际货币交易量越大,该国对美元的需求量越大.这一结论证实了网络外部性效应的存在.     

基于季节ARIMA模型的国有粮食企业收购预测分析

研究国有粮食企业的购销现状,对国有粮食企业的购销量进行分析和预测,有利于深刻认识国有粮食企业的市场运行规律,更为充分地保障国家粮食安全。本文利用Box-Jenkins法中的季节ARIMA模型,对2005年1月—2009年4月中国国有粮食企业收购量数据序列进行分析,建立了国有粮食企业的季节ARIMA模型。检验结果表明,季节ARIMA模型对原始数据序列有着较好的拟合效果,模型的预测效果良好,可用于短期内国有粮食企业收购量的预测。     

What Is Common Among Return Anomalies? Evidence from Insider Trading

For a broad set of anomalies, we establish a common pattern of underreaction to information contained in preceding insider trading activity. Our main analysis focuses on the anomalies' short legs, which generate persistent negative abnormal returns. For stocks in the short legs, future returns are systematically related to the information signal contained in preceding insider trading activity, indicating underreaction. For insider trading information, we consider the possibility of net buying, net selling, and no trading (or silence). The underreaction effect is economically significant, with the most negative signal accounting for an average of 71% of short-leg returns. This underreaction effect survives numerous robustness checks and remains important after accounting for investor sentiment, information environment, and limits to arbitrage.     

Unconventional monetary policy and the dollar–euro exchange rate: further evidence from event studies

New evidence is presented on the impact on the US dollar–euro (USD–EUR) exchange rate of the unconventional monetary policy conducted by the US Federal Reserve (FED) and the European Central Bank (ECB). To that end, we employ an event study approach using daily the USD–EUR exchange rate for the period from 2 January 2007 to 31 January 2015. Our results indicate that the announcement and subsequent implementation of such measures by the ECB would have caused in general an appreciation of the dollar, while those by the FED would have caused a depreciation of the dollar.     

Return seasonality in the foreign exchange market

I examine return seasonality in the foreign exchange market using currency futures during the period 1973?2015. All the G10 currency futures yield negative returns in January and this effect happens more often in the countries that have a tax year ending in December. In contrast, returns offered in April are positive. To exploit these anomalies, I use a seasonality strategy that selects portfolios based on their historical same-calendar-month returns. I find that this strategy does not work in the currency market, although I find consistent results with Keloharju et al. in the stock portfolios.     

Geographic patterns of trading profitability in Xetra

Transaction data from the electronic trading system Xetra of the German Security Exchange is used to explore the relationship between trader location and trading profitability. The non-discriminatory nature of the electronic trading system and its wide international adoption allows interesting conclusions about the information geography of international equity trading. We use spectral analysis to examine trading profitability over intraday, intraweek, and intraquarter inventory cycles. Proprietary trader accounts reveal the underperformance of foreign traders at all three trading horizons. Our analysis confirms the hypothesis of financial market segmentation due to international information barriers.     

Introducing the mini-futures contract on Ibex 35: implications for price discovery and volatility transmission

This paper analyzes the effects of the introduction of the mini-futures contract in the Spanish stock index futures market. The objective of the paper is twofold: (a) to analyze the potential destabilizing effect of the mini futures trading activity on the distribution of spot returns, and (b) to test whether the mini futures contract significantly contributes to the price discovery process. A non-parametric approach is used to estimate the density function of spot return conditional to both spot and futures trading volume. Empirical findings using 15-min intraday data reveal that the mini futures trading activity enhances the price discovery function of the derivative market and does not destabilize spot prices. A preliminary version of this paper has been previously published as a working paper of the Instituto Valenciano de Investigaciones Económicas, WP-EC 2004-13. M. Illueca and Juan A. Lafuente acknowledge financial support from Spanish ministry of Science and Technology through grants SEJ-2005-02776, and both SEJ2006-14354 and BEC-2003-03965, respectively.