共查询到20条相似文献,搜索用时 15 毫秒
1.
Robin Brooks Hali Edison Manmohan S. Kumar Torsten Sløk 《European Financial Management》2004,10(3):511-533
This paper explores the ability of portfolio and foreign direct investment flows to track movements in the euro and the yen against the dollar. Net portfolio flows from the euro area into US stocks – possibly reflecting differences in expected productivity growth – track movements in the euro against the dollar closely. Net FDI flows, which capture the recent burst in cross‐border M&A activity, appear less important in tracking movements in the euro‐dollar rate, possibly because many M&A transactions consist of share swaps. Movements in the yen versus the dollar remain more closely tied to conventional variables such as the current account and interest differential. 相似文献
2.
This article introduces a new model that combines an ARIMA with a chaotic BP (Backforward Propagation Neural Network) algorithm for exchange rate forecasting purposes, which is based on sample data collected from January 4, 2010, to October 20, 2011. The forecast of the exchange rate trend is then provided for the subsequent twenty-five days. Other models are also constructed, such as the ARIMA, BP, ARIMA, and BP algorithms, in order to evaluate the forecast accuracy. Based on our results, the combination of an ARIMA and a chaotic BP algorithm outperforms all other models in terms of the statistical accuracy of short-term forecasts. 相似文献
3.
This paper reconsiders the successful currency outcome of the first arrow of Abenomics. The Japanese yen depreciation against the U.S. dollar after the introduction of the first arrow co-moves tightly with long-term yield differentials between Japan and the United States. The estimated term structure of the sensitivity of the currency return of the Japanese yen to the two-country interest rate differential indeed shifts up and becomes steeper after the onset of Abenomics. To explain this structural change in the term structure of the Fama regression coefficient, we employ a long-run risk model endowed with real and nominal conditional volatilities as in Bansal and Shaliastovich (2013). Under a plausible calibration, the model replicates the structural change when nominal uncertainty dominates real uncertainty in the U.S. bond market. We conjecture that the arrow was shot off from the U.S. side, not the Japan side. 相似文献
4.
This paper explores various dynamic properties of daily data for the yen–dollar exchange rate. This empirical study shows that quantitative information articulated with technical trading acts as market-based indicators, thus contributing to the modelling of daily fluctuations in the exchange rate. Value-at-Risk analysis is also performed to demonstrate that allowing for data properties such as skewness is essential for representing the underlying volatility of the yen–dollar rate. 相似文献
5.
We examine the association between the foreign exchange rate of the US dollar and US presidential cycles. Results show that Republican presidencies tend to start with a strong dollar, which then depreciates over the course of the presidency. In contrast, Democratic presidencies tend to begin with a weak dollar that then appreciates. These patterns result in an apparent presidential effect in US foreign exchange rates, the direction of which depends on whether exchange rates are measured by levels or by returns. 相似文献
6.
Although stable money demand functions are crucial for the monetary model of the exchange rate, empirical research on exchange rates and money demand is more or less disconnected. This paper tries to fill the gap for the euro/dollar exchange rate. We investigate whether monetary disequilibria provided by the empirical literature on US and European money demand functions contain useful information about exchange rate movements. Our results suggest that the empirical performance of the monetary exchange rate model improves when insights from the money demand literature are explicitly taken into account. 相似文献
7.
This paper uses the recent history of the ERM to gain insights into what might happen to exchange rates on the road to EMU. to do this, the paper examines the variability of exchange rates, the transmission of monetary policy between countries, the role of the dollar in ERM exchange rate crises, and ERM members' credibility as measured by the realignment probabilities prior to the September 1992 crisis. We identify two factors that might have contributed to the September 1992 crisis: high German interest rates and weakness of the US dollar. We find that behaviour of exchange rates has changed over time and differs between ERM and non-ERM currencies. We also demonstrate that changes in German short-term interest rates influence interest rates in other ERM countries and vice versa. 相似文献
8.
Shang-Wu Yu 《Asia-Pacific Financial Markets》1999,6(4):341-354
A neural network model was used in forecasting the basis in SIMEX Nikkei Stock Index futures. Results for out of sample show that the neural network forecast performance was better than that of the ARIMA model. Also, a two-way ANOVA confirms that the employed neural network was able to provide the trader with more arbitrage profits than the traditional cost-of-carry model even though it observed relative less profitable arbitrage timing. The results can be attributed to the network';s higher ability to capture nonlinear market patterns. 相似文献
9.
Jinsoo Lee 《Asia-Pacific Financial Markets》2000,7(1):83-96
This study estimates the changes in volatility of the won/U.S. dollar dailyexchange rates before and after the Korean currency crisis, using the stochastic volatility model with the ARMAregression error term. We find that the persistence of volatility increased after the Koreancurrency crisis. 相似文献
10.
本文选取影响人民币汇率波动的有关结构变量,分别通过线性MA模型和基于遗传算法改进的GABP神经网络模型,对人民币汇率波动进行模拟和预测。通过比较发现,汇率缺乏弹性时期,逐月MA模型的历史拟合和样本外预测效果最优;随着汇率改革的不断推进和汇率弹性化的增强,GABP神经网络模型在汇率波动的模拟和预测方面均有最优表现,故汇率波动预测模型应随汇率弹性及其波动特性不同因时制宜。同时结果表明,汇率弹性化能够加深汇率波动及其结构变量间的均衡关系,利率市场化改革应与汇率市场化改革协调推进。 相似文献
11.
DAJIANG GUO 《Asia-Pacific Financial Markets》1997,4(1):59-73
This paper investigates the predictive power of implied variancesextracted from the dollar/yen option prices. Implied variances areestimated from transaction prices of currency options traded on PHLXusing the option pricing model of Garman and Kohlhagen (1983). Incontrast to recent findings on stock and stock index options, theout-of-sample tests indicate that the implied variance is an upwardbiased estimator of future variance; and that the variance forecastsfrom GARCH and historical models do not contain significantincremental information in predicting future variance. Tradingstrategies are also developed to exploit the observed overstatementof variance in the dollar/yen option market. Traders that can executethe delta-neutral trading strategies at the observed markettransaction prices could lock in a significant profits during theperiod examined. However, for investors that facing highertransaction costs, the magnitude of the profits is generally notlarge enough to allow for abnormal risk-adjusted profits. 相似文献
12.
13.
Robert G. Biscontri 《International Journal of Intelligent Systems in Accounting, Finance & Management》2012,19(1):1-18
The fundamental management problem of decision making in a climate where future values of important variables are unknown and can at best be estimated using traditional statistical techniques is addressed. The incorporation of forecast models into management decision‐support systems is critical for the overall success of organizational accounting information systems, where managers require confidence in the information that they use. The neural network paradigm has been described as a promising nonparametric approach, negating the required, and sometimes restrictive, statistical assumptions. The application of the neural network paradigm to the area of earnings forecasting is presented. A radial basis function (RBF) approach is developed and tested empirically using data from the Hong Kong Hang Seng 100 Index and macroeconomic data, mimicking an actual business valuation/forecast exercise. Results show that the RBF approach is superior to regression and financial analysts in earnings forecast. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
14.
The motivation for this paper is to investigate the use of alternative novel neural network (NN) architectures when applied to the task of forecasting and trading the euro/dollar (EUR/USD) exchange rate, using the European Central Bank (ECB) fixing series with only auto-regressive terms as inputs. This is done by benchmarking four different NN designs representing a higher-order neural network (HONN), a Psi Sigma Network and a recurrent neural network with the classic multilayer perception (MLP) and some traditional techniques, either statistical such as an auto-regressive moving average model, or technical such as a moving average convergence/divergence model, plus a naïve strategy. More specifically, the trading performance of all models is investigated in a forecast and trading simulation on the EUR/USD ECB fixing time series over the period 1999–2007 using the last one and half years for out-of-sample testing, an original feature of this paper. We use the EUR/USD daily fixing by the ECB as many financial institutions are ready to trade at this level and it is therefore possible to leave orders with a bank for business to be transacted on that basis. As it turns out, the MLP does remarkably well and outperforms all other models in a simple trading simulation exercise. However, when more sophisticated trading strategies using confirmation filters and leverage are applied, the HONN network produces better results and outperforms all other NN and traditional statistical models in terms of annualized return. 相似文献
15.
Mohsen Bahmani-Oskooee Hanafiah Harvey 《Macroeconomics and Finance in Emerging Market Economies》2017,10(1):39-67
Previous studies that tried to assess the impact of exchange rate changes on the inpayments and outpayments of a country used aggregate trade flows between two countries. They are said to suffer from aggregation bias, and disaggregation by industry is recommended. In this paper, we consider response to exchange rate changes of export earnings (inpayments) of 133 industries that export from the US to the Philippines (Philippines’ importing industries) and outpayments of 65 US industries (Philippines exporting industries) that import from the Philippines using annual data over the period 1973–2012. While in most industries exchange rate changes had significant effects in the short run, the short-run effects did not last into the long run in most industries. Economic activity played more role in the long run than the exchange rate. 相似文献
16.
This article models the U.S. dollar as a world currency in a global DSGE framework, and investigates the spillover effects of the U.S. money supply shock on China’s economy. Exchange rate targeting and capital controls in the context of dollar hegemony are investigated. Given a positive U.S. money supply shock, both the inflation and real GDP of China will be below their steady-state levels in the medium term; while for the U.S. there is no inflation pressure. The spillover of liquidity effect exists. Cost-push effects and relative price effects are employed to discuss the transmission mechanism. Under the U.S. money supply shock, a fully liberalizing reform with no capital controls and a floating exchange rate of Renminbi is not the best reform for China. 相似文献
17.
Hong Kong's linked exchange rate system (LERS) has been in operation since 1983, during which time many other fixed exchange rate systems have succumbed to shocks and/or speculative attacks. This paper investigates how market participants assessed changes made to the LERS by using the tools of modern finance to extract information from financial asset prices about market expectations. These changes have been characterized as making the system less discretionary over time. We find that decreasing the discretionary element of the LERS led to an increase in credibility of the arrangement. 相似文献
18.
Tasadduq Imam Kevin Tickle Abdullahi Ahmed William Guo 《International Journal of Intelligent Systems in Accounting, Finance & Management》2012,19(1):19-42
In the recent era, computational intelligence techniques have found an increased popularity in addressing varied financial issues, including foreign exchange rate prediction. This article, through an intelligent system research framework, relates the Australian dollar (AUD)/US dollar (USD) exchange rate to the Australian and the US stock market indices. Information for exchange rate, All Ordinaries Index (AOI) and Dow Jones Industrial Average (DJI) for the trading days over the period January 1991–May 2011 is considered in this research. Utilizing a set of statistical and computational intelligence techniques, the research establishes that the AUD/USD exchange rate is best estimated by a linear forecast model compared with the nonlinear and ensemble‐based intelligent system models. This research further highlights that, among the competing linear models, the model with both the stock market indices and historical exchange rate values as the predictors is the best forecaster. Parameters of the linear model are deduced through a Monte Carlo stochastic approach. Relative importance of the predictors is also studied, and the influence of historical exchange rates, the immediate impact of AOI and the lagged effect of DJI are noted. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
19.
The paper examines the impact of major U.S. macroeconomic announcements on the Dollar/Yen exchange rate. We find that these
announcements are responsible for most intraday and day-of-the-week volatility patterns in this market and we identify the
most important announcements. The initial reaction to a major 8:30 announcement begins around 8:30:10 and lasts until about
8:30:50. A partial price correction is normally observed between 8:31 and 8:32. Price movements after 8:32 are basically independent
of those observed earlier although volatility continues to be higher than normal until about 8:55. 相似文献
20.
Suk-Joong Kim Cyril Minh Dao Pham 《Journal of International Financial Markets, Institutions & Money》2006,16(5):446-467
We investigate the effects of the Reserve Bank of Australia's foreign exchange interventions on the USD/AUD market and 90-day and 10-year interest rate futures markets for the period July 1986–December 2003. Using recently released revised and updated intervention data, we investigate contemporaneous and disaggregated intervention influences and find significant evidence for (i) intervention effectiveness in moderating the contemporaneous exchange rate movements especially if interventions were cumulative and large, (ii) exchange rate volatility reducing effect with a day's lag, (iii) undesirable interest rate movements following interventions in some periods compromising monetary policy effectiveness, and (iv) a volatility reducing effect of cumulative interventions in the 90-day rate, and a volatility increasing effect of large interventions in both the 90-day and 10-year rate futures. These findings are a unique and significant contribution to the prevailing literature as they demonstrate that the RBA's interventions matter not only for the foreign exchange market but also for the debt markets. 相似文献