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|Title: ||The measurement of the option investors' trading information underlying the trading behavior, and the optimal static and dynamic trading strategy of the calendar spread in the S&P 500 index options market|
|Other Titles: ||S&P500選擇權市場投資人交易隱含資訊與日曆價差組合策略之研究|
|Authors: ||張鼎煥;Chang, Ting-huan|
邱建良;Chiu, Chien-liang;李命志;Lee, Ming-chih
|Keywords: ||價性;選擇權;風險偏好;波動率指數;日曆價差;Moneyness;Options;risk preference;volatility index;Calendar Spread|
|Issue Date: ||2010-09-23 15:26:40 (UTC+8)|
|Abstract: ||本篇論文分成三部份探討S&P 500選擇權市場投資人交易隱含資訊與日曆價差組合策略。第一部份主要經由選擇權標的資產波動、成交量、波動率指數、期貨報酬、期貨與現貨關係，研究買權與賣權之價內、價平與價外投資行為所反映投資人風險偏好、市場預期與交易動機。實證資料利用去除平均數方法降低到期效果之干擾，統計發現S&P 500選擇權市場投資人權衡價外較高風險與價內較高持有成本，實際傾向交易價平之選擇權，實證結果亦發現買權與賣權投資人皆具風險趨避偏好與市場反轉預期，賣權投資人交易動機為避險；而買權投資人交易動機則為投機。亦發現價內選擇權可以獲得較價外選擇權高之投資報酬。|
第二部份成功利用一階自我迴歸跳躍模型捕捉S&P 500選擇權買權與賣權之間價性距離變動跳躍的強度，藉此探討買權與賣權即多空部位投資人對市場資訊反應是否一致？實證結果發現77.33% 的反應是一致的，但也有22.67%的反應不一致，尤其當市場發生較大事件衝擊期間。後續利用標的資產價格、波動與無風險利率分析發現，當市場低度不確定性即風險較低時，買權與賣權投資人反應較一致；反之當市場高度不確定性即風險較高時，買權與賣權投資人反應較不一致。
In the first part of this thesis measures option investors’ risk preferences and the motivations underlying option trading behavior by using the adjusted moneyness when initial moneyness has been influenced by the time-to-maturity effect in the contract month. The adjusted moneyness is calculated using the de-mean process by removing the average moneyness of each trading date prior to the expiration date for the minimization of anomalies. The statistics of the adjusted moneyness indicate that both call and put option investors essentially prefer to trade at-the-money options The regression estimation also confirm that both call and put option investors have significant risk-aversion preferences and market-reversion expectations. Furthermore, put option investors’ motivation underlying option trading behavior is hedge, but call option investors’ trading activity is motivated by speculation. In addition, another goal in this part of thesis is to determine the relationship between option returns and its moneyness. The finding confirms the option investors trade in-the-money options that can obtain larger capital gains than trade out-of-the-money options.
For measuring the option’s response against the market information, the second part of this thesis successfully captures the time-varying jump intensity of the range of option moneyness spread by the autoregressive conditional jump intensity (ARJI) model. This study finds the option investors’ response of 77.33% and 22.67% observations is consistent and inconsistent against the market information, respectively. Furthermore, the relationships between option investors’ response and underlying asset’s price variation and volatility, and risk-free interest rate are use to investigate the option investors’ expectation for the market trend. The option investors have similar expectations when the low degrees of market uncertainty, relative to the low degrees of market uncertainty, the high degrees of market uncertainty causes the option investors have dissimilar expectations. Therefore, the option investors are consistent or inconsistent response to the market information which follows their similar or dissimilar expectation for the market trend under conditions of the degrees of market uncertainty.
The calendar spreads often created when the option returns have anomalies that might occur close to the expiration date. In the final part of this thesis uses the least squares dummy variable (LSDV) model and numerical analysis to investigate performance of the optimal static and dynamic trading strategy of call and put option calendar spreads across time-to-maturity and option moneyness in the S&P 500 Index Options (SPX) market. This study finds that both the neutral calls and puts calendar spreads have the highest outperformance than bullish and bearish, and the premium payoffs are obvious declining along the time-to-maturity. By using the static trading strategy, the investors can create the neutral puts calendar spread to maximize their expected profits. Relative to the static trading strategy, the dynamic trading strategy respects to the underlying asset prices and market volatility can maximize the investors’ expected premium payoffs, despite the one-period lagged price variations of the underlying S&P 500 Stock Index and VIX may not be good signals because they merely operate when the high degrees of market shocks.
|Appears in Collections:||[財務金融學系暨研究所] 學位論文|
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