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研究生:莊惠菁
研究生(外文):CHUANG,HUI-CHING
論文名稱:在 VIX 波動率下主動式投資和被動式投資的比較
論文名稱(外文):Performance Comparison Between Active and Passive Investment Strategies Under Different VIX Volatilities
指導教授:陳達新陳達新引用關係
指導教授(外文):CHEN,TA-HSIN
口試委員:陳達新聶建中盧陽正
口試委員(外文):CHEN,TA-HSINNIEH,CHIEN-CHUNGLU,YANG-CHENG
口試日期:2018-05-06
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:國際財務金融碩士在職專班
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:55
中文關鍵詞:VIX 波動率主動式投資被動式投資泰德利差
外文關鍵詞:VIX (Volatility Index)Active InvestingPassive InvestingTED Spread
相關次數:
  • 被引用被引用:2
  • 點閱點閱:351
  • 評分評分:
  • 下載下載:8
  • 收藏至我的研究室書目清單書目收藏:3
本研究搜集2005年至2017年5家不同基金公司投資美國股票為主動式投資樣本,被動式投資則以SPY為樣本,探討在不同VIX波動率下主動式投資與被動式投資的績效比較。在VIX波動率起伏時,主動式投資在績效表現上是否優於被動式投資,另外,除了VIX波動率之外,泰德利差是否也有相同的顯著影響。本研究以序列相關和異質性檢定以獲得最佳不偏估計式做迴歸分析。根據實證結果可歸納出以下幾個結果:
1. 經由資料統計分析,看到被動式投資ETF波動與基準指數走勢大致同步。其次以主動式投資基金與被動式投資ETF日、月報酬率比對分析看出,主動式投資的績效不比被動式投資差。
2. VIX指數對主、被動式基金報酬率差額的波動呈現負相關性。亦或反映市場恐慌帶給基金經理人操作時情緒的影響。
3. 泰德利差對主、被動式投資之報酬率差額則不存在相關性。

This study has collected 5 different fund companies investing in American stocks from 2005 to 2017 as active investing samples, while SPY used as passive investing samples. It explores the performance comparisons between active investing and passive investing under different VIX (Volatility Index). It explores whether the performance of passive investing is better than that of passive investing when the VIX (Volatility Index) fluctuates. Additionally, it explores whether the TED Spread has the same significant impact, aside from the VIX (Volatility Index) as well. In this study, the regression analysis is made by using serial correlation and detection of heterogeneity for obtaining the best unbiased estimator. According to the empirical results, the following results can be concluded:

1. Through the statistical analysis of data, it can be seen that the fluctuation of passive investing ETF (Exchange Traded Funds) roughly synchronizes with the trend of benchmark index. Secondly, it is shown that the performance of active investing is not worse than that of passive investing through the comparison and analysis of daily and monthly rate of return of active investing fund and passive investing ETF (Exchange Traded Funds);
2. There is a negative correlation between the VIX (Volatility Index) and the fluctuation of rate of return margin of the active and passive funds. It also reflects the emotional impact of panic market on fund managers’ operation.
3. There is no correlation between the TED Spread and the rate of return margin of the active and passive investing.

謝詞 I
中文摘要 II
英文摘要 III
目錄 IV
圖目錄 VI
表目錄 VII
第一章緒論 1
第一節背景與動機 1
第二節研究目的 4
第三節研究流程 5
第四節論文架構 6
第二章文獻探討 7
第一節主動式投資與被動式投資 7
第二節主動式投資、被動式投資(ETF)國內與國外相關之文獻探討 8
第三節 VIX波動率與泰德利差 12
第三章資料與研究方法 15
第一節研究資料 15
第二節偏態係數、峰態係數 20
第三節迴歸模型 20
第四節序列相關 25
第五節異質性檢定 32
第四章實證結果與分析 38
第一節敘述統計分析 38
第二節 VIX 對主、被動式投資報酬率差額之迴歸分析 42
第三節泰德利差對主、被動式投資報酬率差額之迴歸分析 45
第五章結論與建議 48
第一節結論 48
第二節後續研究之建議 49
參考文獻 52
中文部分: 52
英文部分: 53
網路部分: 55

中文部分:
1.鍾展弘,2011,VIX,CDS與Ted價差對股票市場的影響,世新大學財務金融學研究所。
2.李伊容,2012,多空頭市場下台灣與美國ETF之研究,以台灣50ETF及SPDR為例,淡江大學財務金融在職專班,碩士論文。
3.鄭伊真,2012,基金特性對基金績效在不同股市波動F之非線性探討, 淡江大學財務金融研究所,碩士論文。
4.詹世澤,2013,基金費用率對基金績效之關聯性分析,國立台北大學國際財務金融碩士在職專班,碩士論文。
5.徐藝庭,2016,重大金融事件衝擊下對正常ETF與反向ETF交易之影響,淡江大學財務金融研究所,碩士論文。
6.張耿榮,2016,恐慌指數與股價指數關聯之研究,國立政治大學金融學系研究所,碩士論文。
7.林惠玲、陳正倉,2015,現代統計學,初版,雙葉書廊有限公司,台北。
8.邱定鴻,2017,探討Vix恐慌指數與股價報酬之間的線性與非線性關係----以亞洲六國為例及美國股市為例,國立中正大學經濟系國際經濟學研究所,碩士論文。
9.盧秋玲、張清發、沈仰斌,2017,積極比例是否解釋台灣共同基金績效,證券市場發展季刊,第115期,第3-25頁。
10.安聯投信投資透視專刊,2017,主動式投資三個理由。
11.楊浩彥、郭迺鋒、林政勳,2017,實用財經計量方法:Eviews之應用,再版,雙葉書廊有限公司,台北。

英文部分:
1.AI-Rjoub,2011, Before the crises: implication for the US. Stock Market, “International Journal of Trade and Global Market,100-130.
2.Brunner Meieretat,2008, Market Liquidity and Funding Liquidity ,105-130.
3.Cremers and Petajisto,2009 , How active is your fund manager? A new measure that predicts performance ,247-275.
4.Dater,V.R.W.So and Y.Tse ,2008,“Liquidity Commonality and Spillover in the U.S and Japan Markets: An Intraday Analysis Using Exchange-Traded Funds.”Review of Quantitative Finance and Accounting,31,379-393.
5.Dickey,D. and W. Fuller,1979, “Distribution of Estimator for Autoregressive Time Series with A Unit Root.”,Journal of American Statistical Association,74,427-431.
6.Dimson,E. and P. Marsh ,1990,“Volatility Forecasting without Data Snooping.”Journal of Banking and Finance,14(2),399-421.
7.Engle, R.F.,1982,“Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation.”, Econometrica,50,987-1007.
8.Engle, R.F. and V. K. Ng,1993,“Measuring and Testing the Impact of News on Voiatility.”,Journal of Financial and Quantitative Analysis,24(2),1749-1778.
9.Engle, R.F. and S. B. Yoo,1987, “Forecasting and Testing in Cointegrated Systems” ,Journal of Finance, 48(5),143-159.
10.Eun, C. S. and S. Shim,1989, “International Transmission of Stock Market Movement.”, Journal of Financial and Quantitative Analysis, 24(2),241-256.
11.Ferris and Yan,2009, Journal of Banking & Finance Agency costs , governance and organizational forms; Evidence from the mutual fund industry,83-99.
12.Grinblatt and Titman,1996, The Quarterly Review of Economics of Finance,100-150.
13.Haslem, Bakerand and Smith,2008, Performance and Characteristics, of Actively Managed Retail Equity Mutual Funds with Diverse Expense Ratios,37-53.
14.Kon and Jen,1979, The investment performance of mutual funds : An empirical investigation of timing, selectivity and market efficiency, Journal of Business,263-289.
15.Lehman and Modes,1987, Mutual fund performance evaluation a comparison of benchmarks and benchmark comparisons ,Journal of Finance,42,233-265.
16.Malliaris, A. G. and J.L.Urrutia,1992,“The International Crash of October 1987:Causality Test.” Journal of Financial and Quantitative Analysis,27(3), 353-364.
17.Miyakoshi, T. ,2003, “Spillovers of Stock Return Volatility of Asian Equity Markets from Japan and the US.”, Journal of International Financial Markets Institutions& Money, 13, 383-399.
18.Parther, Bertin and Henker,2004, Mutual Fund Characteristics Managerial Attributes and Fund Performance,180-203.
19.Ron’s,2009, The Financial Strateges Group Ron’s Financial Newsletters: Issue #8 Long-term care (LTC): Two Alternatives to Access coverage,150-170.
20.Sornetteand Cauwels,2014 4A, Financial Bubbles Mechanism and Diagnostics,132-160.
21.Wang etal,2014, Suitability of Anaerobic Digestion Effluent as Process Water for Corn Fuel Ethanol Fermentation,100-121.
22.Wermers,2003, Is Money Really Smart? New Evidence on the Relation between Mutual Fund Flows, Manager Behavior and Performance Persistence,57-68.
23.Whaley,2000, The Investor Fear Gauge. The Journal of Portfolio Management Spring,135-165.
24.Zhang,2010, Impact of Online Consumer Reviews on Sales: The moderation Role of Product and Consumer Characteristics,76-95

網路部分:
1.鉅亨網,https://www.cnyes.com/
2.谷歌,https://www.google.com.tw/
3.Bloomberg,https://www.bloomberg.com/asia
4.Stock Q,http://www.stockq.org/
5.經濟日報,https://money.udn.com/money/index
6.Fund DJ基智網-Money DJ理財網,https://www.moneydj.com/
7.嘉實資訊,https://www.sysjust.com.tw/Products/MoneyDJ.aspx

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