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博碩士論文 etd-0518113-235254 詳細資訊
Title page for etd-0518113-235254
論文名稱
Title
匯率預測之統計與經濟顯著性
Statistical and economic significance of exchange rate forecast
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
41
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2013-06-11
繳交日期
Date of Submission
2013-06-19
關鍵字
Keywords
統計顯著性、購買力平價、隨機遊走、名目匯率、經濟顯著性
statistical significance, economic significance, nominal exchange rate, random walk, Purchasing power parity
統計
Statistics
本論文已被瀏覽 5786 次,被下載 2462
The thesis/dissertation has been browsed 5786 times, has been downloaded 2462 times.
中文摘要
摘要

本文利用長期購買力平價成立之長期預測方程式來探討其在名目匯率預測上相對於隨機遊走(random walk)模型之經濟顯著性與統計顯著性。
實證結果發現,在樣本內的估計,以購買力平價為基礎之長期預測方程式相對於隨機遊走(random walk)模型具統計顯著性。而在樣本外的預測結果,則顯示隨機遊走(random walk)模型較以購買力平價為基礎之長期預測方程式有較佳之統計顯著性。然而在經濟顯著性方面,以購買力平價為基礎之長期預測方程式在不同指標下,其預測能力皆優於隨機遊走(random walk)模型。
Abstract
Abstract

In this paper, I use the establishment of long-term purchasing power parity equation to investigate nominal exchange rate predicted relative to the random walk model of economic significance and statistical significance.
Empirical results display that, in the sample estimates of purchasing power parity of long-term forecast equation relative to random walk model is more statistical significant. However, out of sample forecasting results show that the random walk model had a better long-term prediction of statistical significance than purchasing power parity-based long-term forecast equation. In addition, with economic significance of aspects, based on purchasing power parity of the long-term prediction equations under different indicators, forecasting ability are better than the random walk model.
目次 Table of Contents
目錄

1. 緒論 1
2. 文獻回顧 3
2.1 統計顯著 ...................................................3
2.2 經濟顯著 ...................................................6
3. 研究方法與模型設定 11
3.1 模型建立 ...................................................11
3.2 統計顯著檢定樣本內和樣本外設定 .............................12
3.2.1 樣本內設定 ...........................................12
3.2.2 樣本外設定 ...........................................14
3.3 經濟顯著檢定 ...............................................15
3.4 均值變異資產配置 ...........................................16
3.5 主成分分析 .................................................18
3.6 績效衡量 ...................................................20
4. 實證結果 24
4.1 資料說明 ...................................................24
4.2 統計顯著樣本內與樣本外 .....................................25
4.2.1 樣本內預測結果 .......................................25
4.2.2 樣本外預測結果 .......................................27
4.3 經濟顯著預測結果............................................30
5. 結論 32
參考文獻 ..........................................................33
參考文獻 References
參考文獻
中文參考文獻
申志偉(2006),"匯率報酬之非線性調整與經濟價值可預測性",碩士論文,中原大學國際貿易研究所
吳致寧(1995),"貨幣學派之匯率決定模型與匯率預測-台灣之實證研究",經濟論文,中央研究院總體研究所,159-187
周心怡(2004),"拔靴法(Bootstrap)之探討及其應用",碩士論文,國立中央大學統計研究所
陳旭昇(2009),"時間序列分析-總體經濟與財務金融之應用",台北∶東華書局

英文參考文獻
1. Abhyankar, A and Sarno, L and Valente, G. (2005): "Exchange rates and fundamentals: evidence on the economic value of predictability". Journal of International Economics 66, 325-348.
2. Engel, C and Kenneth, D. (2005): "Exchange Rates and Fundamentals". Journal of Political Economy, University of Chicago Press, vol. 113(3), 485-517
3. McCloskey, DN and Ziliak, ST. (1996): "The standard error of regressions". Journal of Economic Literature, 97–114.
4. Engsted, T. (2009): "Statistical vs. Economic Significance in Economics and Econometrics: Further Comments on Mccloskey & Ziliak". Journal of Economic Methodology, Vol. 16, 393-408
5. Berkowitz, J and Giorgianni, L. (2001): "Long-Horizon Exchange Rate Predictability?". The Review of Economics and Statistics, MIT Press, vol .83(1), 81-91.
6. Fleming, J. (2001): "The Economic Value of Volatility Timing," Journal of Finance, American Finance Association, vol. 56(1), 329-352
7. West, KD and Edison, HJ. (1993): "A Utility Based Comparison of Some Models of Exchange Rate Volatility". Journal of International Economics 35, 23-45
8. Sarno, L and Valente, G. (2009): "Exchange Rates and Fundamentals: Footloose or Evolving Relationship?". Journal of the European Economic Association, vol. 7(4), 786-830.
9. Meese, R and Rogoff, K. (1983): "Empirical Exchange Rate Models of the Seventies: Do They Fit Out of Sample?". Journal of International Economics 14, 3-24.
10. Marquering, W and Verbeek, M.(2004): "The Economic Value of Predicting Stock Index Returns and Volatility". Journal of Financial and Quantitative Analysis, vol. 39(02), 407-429
11. Mark, NC. (1995): "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability". American Economic Review, 201-218.
12. Della Corte, P and Sarno, L and Tsiakas, I. (2009): "An Economic Evaluation of Empirical Exchange Rate Models". Review of Financial Studies, Society for Financial Studies, vol. 22(9), 3491-3530.
13. Della Corte, P and Sarno, L and Sestieri, G. (2012): "The Predictive Information Content of External Imbalances for Exchange Rate Returns: How Much Is It Worth?". The Review of Economics and Statistics, vol. 94(1), 100-115
14. MacDonald, R and Taylor, MP. (1994): "The monetary model of the exchange rate: long-run relationships, short-run dynamics and how to beat a random walk Journal of International Money and Finance, Volume 13, Issue 3, 276–290
15. Tsay, RS. (2010). "Analysis of financial time series". Cambridge, Mass.
16. West, KD and Edison, HJ and Cho, D. (1993): "A utility based comparison of some
models of exchange rate volatility". Journal of International Economics 35, 23–46.
17. Han, Y. (2006): "Asset Allocation with a High Dimensional Latent Factor Stochastic Volatility Model". Review of Financial Studies, Volume 19, Issue 1, 237-271
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