| dc.contributor.advisor | 陳威光<br>林靖庭 | zh_TW |
| dc.contributor.advisor | Chen, Wei Kuang<br>Lin, Ching Ting | en_US |
| dc.contributor.author (Authors) | 張誠文 | zh_TW |
| dc.contributor.author (Authors) | Chang, Cheng Wen | en_US |
| dc.creator (作者) | 張誠文 | zh_TW |
| dc.creator (作者) | Chang, Cheng Wen | en_US |
| dc.date (日期) | 2013 | en_US |
| dc.date.accessioned | 1-Jul-2014 12:06:43 (UTC+8) | - |
| dc.date.available | 1-Jul-2014 12:06:43 (UTC+8) | - |
| dc.date.issued (上傳時間) | 1-Jul-2014 12:06:43 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0101352004 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/67099 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 金融研究所 | zh_TW |
| dc.description (描述) | 101352004 | zh_TW |
| dc.description (描述) | 102 | zh_TW |
| dc.description.abstract (摘要) | 本文的目的是希望建構利差交易策略，以極大化策略的夏普比率為目標，本文以外匯隱含波動率當作訊號指標建立，利差交易策略，以期望其績效表現能勝過績效指標。本篇論文主要發現如下。第一，本文使用8種貨幣來檢驗無拋補利率平價假說uncovered interest rate parity (UIP)，發現無拋補利率平價假說在所有貨幣中均不成立。第二，本文發現利率差可有效預測利差交易的報酬率，且利率差的係數隨著時間的推移而有遞減的現象。第三，本文使用馬可夫轉換模型把外匯市場分為低波動度及高波動度兩種狀態，並探討利率差、外匯隱含波動率及即期外匯變動率的關係，本文發現，低利率貨幣在高波動度狀態下傾向升值，且外匯隱含波動率是個不錯的指標，能用來判斷何時該平倉利差交易部位。 最後，本文建立三個利差交易策略，分別為「持有到到期策略」、「外匯隱含波動率策略」及「組合式策略」，並把三種策略應用在澳元、紐元、墨西哥披索及巴西里爾四種貨幣上，以評估不同策略的績效表現。本文發現「外匯隱含波動率策略」在樣本內及樣本外期間，均能賺取穩定的報酬率，「組合式策略」的績效有時能擊敗「外匯隱含波動率策略」，但有時其績效大幅落後「外匯隱含波動率策略」及「持有到到期策略」。 本文建議，若機構投資人的風險容忍度為一般水準，可以實施「外匯隱含波動率策略」以賺取穩定報酬；若機構投資人有較高的風險容忍度，則可使用「組合式策略」，以賺取較高的預期報酬率。 | zh_TW |
| dc.description.abstract (摘要) | The purpose of this paper is to build carry trade strategies and try to maximize the Sharpe ratio. This paper uses FX implied volatility as an indicator to build carry trade strategies and tries to outperform performance benchmark. Main findings in our paper are as follows. First, this paper tests the uncovered interest rate parity (UIP) and finds that UIP doesn’t hold in eight currencies over different investment periods. Second, interest rate differentials can predict the return of carry trade and the coefficients of interest rate differentials tend to decrease over time (five out of eight currencies). Third, this paper uses two-stage Markov-switching model and divide the FX markets into high-volatility and low-volatility state to analysis the relationship between interest rate differentials, FX implied volatility and FX change. this paper finds that low-interest-rate currencies tend to appreciate in high-volatility state. this paper also finds that FX implied volatility is a useful indicator to predict FX change and can be used to determine when to close out carry trade positions. Finally, this paper creates three carry trade strategies (buy-and-hold strategy, FX implied volatility strategy, and combination strategy) to examine their performances in four currencies. This paper finds that FX implied volatility strategy generates stable returns in both in-sample and out-of-sample period. Combination strategy sometimes could outperform FX implied volatility strategy. It’s appropriate for institutions with average risk tolerance to implement carry trade using FX implied volatility strategy. For institutions with above-average risk tolerance could implement Combination strategy to earn potentially higher returns. | en_US |
| dc.description.tableofcontents | 1. Introduction & Motivations 92. Literature Reviews 12 2.1 Uncovered interest rate parity (UIP) 12 2.1.1 Literatures against UIP theory 13 2.1.2 Literatures support UIP theory 14 2.2 Carry trade 16 2.3 Markov Switching model 203. Methodology 20 3.1 The forward premium anomalies 20 3.2 Interest rate differential predicts returns of carry trade 22 3.3 Using OLS to find influential factors 23 3.4 Two-stage Markov switching model 24 3.5 Construct carry trade trading strategy 25 3.5.1.1 Interview with FX trader in domestic bank 25 3.5.1.2 Short conclusion of the interview 28 3.5.2.1 The best timing to implement carry trade strategy 29 3.5.2.2 The best timing to close out carry trade strategy 30 3.5.2.3 Determine the future state of Markov-switching model 33 3.5.2.4 Transaction costs 34 3.5.2.5 Income tax and capital gain tax 354. Data description 365. Empirical Results 41 5.1 The forward premium puzzle 41 5.2 Using carry interest to predict future performance 41 5.3 Using OLS to find influential factors 43 5.4 The results of two-stage Markov switching model 45 5.5 Performance evaluation 51 5.6 Limitation of this paper 546. Conclusion 55References 57Appendix I 59Appendix II 60Appendix III 61Appendix IV 62Appendix V 63Appendix VI 64Appendix VII 65Appendix VIII 67 | zh_TW |
| dc.format.extent | 1978815 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0101352004 | en_US |
| dc.subject (關鍵詞) | 利差交易 | zh_TW |
| dc.subject (關鍵詞) | 馬可夫轉換模型 | zh_TW |
| dc.subject (關鍵詞) | 外匯隱含波動率 | zh_TW |
| dc.subject (關鍵詞) | carry trade | en_US |
| dc.subject (關鍵詞) | Markov-switching model | en_US |
| dc.subject (關鍵詞) | FX implied volatility | en_US |
| dc.title (題名) | 使用外匯隱含波動率建構利差交易策略-馬可夫轉換模型之應用 | zh_TW |
| dc.title (題名) | Carry trade strategies in FX market by use of FX implied volatility as an indicator - Application of Markov switching model | en_US |
| dc.type (資料類型) | thesis | en |
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