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Three essays on the foreign exchange markets.

机译:关于外汇市场的三篇论文。

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摘要

The foreign exchange market is full of risk and uncertainty. Researchers are trying many approaches to explain foreign exchange movements and forecast foreign exchange rates. The most quoted methods are forward premium model and vector error correction model (VECM).;The first essay study the explanation power of the macroeconomic news for the foreign exchange fluctuation. We use Kalman filter and maximum likelihood method to extract several dynamic factors from 27 noisy and sparsely observed macroeconomic news deviations. We further input the news factors as independent variables in our VECM analysis. The fitted results show that the news factors' contribution is limited. The out of sample prediction yields the same conclusion.;The uncovered interest rate parity hypothesis has frequently been rejected. This hypothesis, however, has seldom been tested at the very short end of the forecasting horizon where forward rates are measured in days. The second paper reinvestigate the UIRP puzzle in diversified horizons. Using overnight, two-day and three-day forward rates, we find that the forward premia in these short forward horizons are stationary than the forward premia in longer horizons. This contrasts with recent findings that the forward premia, in longer forward horizons, are fractionally nonstationary. Estimation results indicate that forward premia are essentially unbiased estimates of the future spot returns. Once the interest rate differential is the dominant source of information in the foreign exchange market, the forward premium forecasts the spot returns relatively well.;The last essay we have a empirical study of the VECM prediction power we use the rolling regression method to generate series of parameters and dynamically predict the next period's foreign exchange rates. We compare the forecast errors from the rolling regression VECM and that of the random walk model. We also set up a trading strategy which longs or shorts the foreign currency based on the forecasts. Our trading simulation shows that this informed trading makes positive return in medium horizon, while the simple buy and hold strategy's return is insignificant.
机译:外汇市场充满风险和不确定性。研究人员正在尝试许多方法来解释外汇走势并预测汇率。引用最多的方法是前期溢价模型和矢量误差校正模型(VECM)。第一篇论文研究了宏观经济新闻对外汇波动的解释力。我们使用卡尔曼滤波和最大似然法从27个嘈杂和稀疏观察到的宏观经济新闻偏差中提取几个动态因素。我们在VECM分析中进一步将新闻因素作为自变量输入。拟合结果表明,新闻因素的贡献是有限的。样本之外的预测得出相同的结论。;未发现的利率平价假设经常被拒绝。但是,很少在预测范围的最短端(即以天为单位计算远期汇率)检验这一假设。第二篇论文以多种视角重新研究了UIRP难题。使用隔夜,两天和三天的远期费率,我们发现在这些短远期中的远期溢价是固定的,而在较长远期中的远期溢价是固定的。这与最近的发现相反,在更长的向前视野中,前向血友病在一定程度上是不稳定的。估计结果表明,前期溢价本质上是对未来即期收益的无偏估计。一旦利率差异成为外汇市场的主要信息来源,则远期保费对即期收益的预测就相对较好。最后一篇文章我们对VECM预测能力进行了实证研究,我们使用滚动回归方法生成了序列参数并动态预测下一个时期的汇率。我们比较了滚动回归VECM和随机游走模型的预测误差。我们还建立了一种基于预测来做多或做空外汇的交易策略。我们的交易模拟表明,这种知情交易在中期范围内会产生正收益,而简单的买入并持有策略的收益就微不足道。

著录项

  • 作者

    Jiang, Nengzhi.;

  • 作者单位

    City University of New York.;

  • 授予单位 City University of New York.;
  • 学科 Economics General.;Economics Finance.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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