政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/94758

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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/94758

Title:	選擇權波動度交易策略之探討-以台指選擇權為例 A study of volatility trading strategies: evidence from Taiwan index options
Authors:	賴星旅 Lai, Hsing Lu
Contributors:	陳威光江彌修賴星旅 Lai, Hsing Lu
Keywords:	波動度交易選擇權交易策率隱含波動度指數時間序列模型市場情緒指標 volatility trading option trading strategy VIX GARCH(1,1) Market Sentiment Indices
Date:	2009
Issue Date:	2016-05-09 11:49:16 (UTC+8)
Abstract:	本文考量波動度不對稱效果(Volatility Asymmetric Effect)與均數回歸(Mean Reverting)兩個特性，並考量台股市場特性，嘗試建立一個適合台灣市場的波動度交易策略。利用GARCH(1,1)波動度與VIX指標建構第一個交易訊號，並建立當日沖銷部位。以賺取日內行情為出發點，利用時間序列模型捕捉波動度的高估或低估且搭配純跨式(Pure Straddle)策略或根據Delta調整後的跨式(Adjusted Straddle)策略。第二個交易訊號則是利用市場敏感指標，觀察外資與自營商在交易部位與未平倉部位的變化，找出對於波動度的影響。建立由選擇權與期貨組成的Delta-Hedged部位，藉由觀察市場上主力籌碼的變化，動態調整部位契約，尋找波段之間的獲利機會。實証部分以期交所公布的每日交易資料與VIX日資料，利用2007至2008兩年的歷史資料，估計參數與測試交易訊號。樣本外期間為2009年1月開始至3月結束共55個交易日。考量交易成本後，兩個不同型態的交易訊號，仍然能夠藉由本研究的策略，獲得正的報酬。本文認為台灣為一個淺碟市場，過度反應資訊的特性，讓波動度策略出現獲利的機會。藉由這個波動度交易系統的研究，除了讓資金豐沛的機構投資人使用外，也能夠讓一般投資大眾建立自己的波動度交易策略關鍵字:波動度交易，選擇權交易策略，GARCH(1,1)，VIX，市場情緒指標 Trying to apply a preliminary study of volatility trading strategies in Taiwan derivative market is the topic of this dissertation. Capturing the market movement or even the dynamic of underlying asset is a Pandora’s Box for academic researchers and industry participants. Mean-reverting and asymmetrical effects are the two special characteristics of volatility for us to design our trading system according to the previous empirical studies. In our study, we use different type of volatility signal to capture the trading opportunities. Use the new released information form TAIFEX including VIX and Position Structure of Institutional Traders to design our signal. We apply the idea to use pure option position and delta-hedged position as our trading tools in this volatility trading system and look for the opportunities between realized volatility and implied volatility. An over-reaction may rises the uncertainty and also lead the market volatility change coherently. We use history data from 2007 to 2008 test our trading signal and parameters. The out sample period is from 2009 January to 2009 March which has 55 trading days to simulate our strategies. In the end, we see a positive result in both trading signals which earns positive return after considering the trading cost. Key words: Volatility Trading, Market Sentiment Indices, Option Strategies, VIX, GARCH(1,1)
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Description:	碩士國立政治大學金融研究所 94352014
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0094352014
Data Type:	thesis
Appears in Collections:	[Department of Money and Banking] Theses

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