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題名:根據三個切點探討期貨日交易者之損失趨避行為
作者:林鳳珍 引用關係
作者(外文):Feng-ChenLin
校院名稱:國立成功大學
系所名稱:財務金融研究所
指導教授:李宏志
學位類別:博士
出版日期:2016
主題關鍵詞:展望理論損失趨避投資者特徵期貨市場prospect theoryloss aversioninvestor’s characteristicsfutures markets
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本研究探討台灣期貨日交易者是否存在損失趨避(Loss Aversion)之投資偏誤行為(anomalies)。我們使用台灣期貨交易所提供的散戶交易人資料,使用大台指期貨根據Coval and Shumway (2005)的迴歸式以2006年1月至2007年12月之月資料並且透過三個切點將投資人的投資行為切割為“最大已實現損失” (MRL)、“最大已實損失之中位數” (M-MRL)與“交易時間的中點” (早上11:15)分成前期與後期,探討投資人前期損失或獲利,後期承擔風險的態度為何。此外,本研究進一步地按照投資人的特徵:性別、年齡與專業度的不同來探討損失趨避的行為是否在這些特性中也存在著差異性。
由本研究結果顯示:三個切點的確有不同的結果,特別是非時間線切點M-MRL與時間切點早上11:15有顯著不同的正負向關係。我們發現非時間線的切點M-MRL最能表現出投資人損失趨避的偏誤行為,因為當投資人在感受到最大損失之前的損失壓力所表現出來的投資行為最能分析出是否投資人有損失趨避的異常表現。另外,M-MRL切點是以每位投資人累積當天交易日之最大已實現損失之中位數為切點比時間線的切點更能符合展望理論提出的S型價值函數的領域(domain)。
另外,本研究為了強調投資人個人的投資行為表現,使用每位交易者帳戶資料計算各項變數值,為了消弭可能有些投資人在各項變數權數過高的問題,本研究計算每位交易者每個月平均獲利以及每個月各項風險平均值來進行迴歸分析,並且以月資料來呈現投資人的投資行為表現。
最後,本研究結果顯示出投資人不同的特徵:性別、年齡與專業度會有不一樣的損失趨避結果。性別方面,男性投資者比女性投資者更顯著的存在損失趨避的投資偏誤行為;年齡方面,30歲以上的投資者有顯著的損失趨避投資行為,特別是30歲以上的男性投資者有明顯的結果。然而,非專業投資人比專業投資人顯著存在損失趨避之投資偏誤行為,特別是非專業的男性投資者有顯著的結果。
In this study, we explore whether futures day traders in the Taiwan Futures Exchange act with loss aversion behavior (LA) between January 1, 2006, and December 31, 2007. We use three cutting points: maximum realized losses of each day trader (MRL), median of maximum realized losses of each day trader (M-MRL) and midpoint of the trading day 11:15 a.m. as the preceding period/later period cutting points to examine whether traders with profits or losses in the preceding period would increase or reduce their later period risk-taking based on regression analysis of Coval and Shumway (2005). In addition, we analyze whether the differences exist in loss aversions on the basis of investors’ characteristics of sex, age, and professionalism.
Our analyses suggest that these new cutting points provide different results. Especially, the M-MRL cutting point is different from the timeline cutting point of 11:15 a.m. and the M-MRL cutting point displays loss aversion. The reason is that when we use M-MRL as cutting point we can best analyze whether the investors have acted with loss aversion when they act under the pressure of fearing loss just before the time where they face the maximum loss of the trading day. In addition, the M-MRL cutting point functions better than the middle-time cutting point in the S-shaped value domain of Prospect Theory.
However, in order to highlight the trader’s persistent behavioral pattern, we run regression based on the individual monthly data by averaging daily value of all variables for each trader. Calculating average monthly data is also controlling for heterogeneity across traders. Hence, we use the monthly data instead of daily data to analyze trader’s loss aversion behavior.
Finally, we find that different characteristics correlate differently with investment behavior. As for the gender aspect, result displays that male but not for female shows significant loss aversion behaviors. At the aspect of age, result shows that investors who are in their 30s or above act with significant LA biased behaviors, especially older males. The result of professionalism shows that non-professional investors display statistically significant loss aversion behaviors, especially male non-professional investors.
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