[[abstract]]在證券市場中,散戶資訊較不完整,容易在事件衝擊之後,因為情緒波動而產生異常報酬及異常交易量。本文以元大臺灣ESG永續ETF成份股為觀察樣本,檢驗投資人情緒與ESG事件對股票異常報酬與交易量的影響。本研究實證結果如下:(1) ETF成份股在ESG事件前後存在異常報酬與異常交易量。(2) 投資人情緒與異常報酬與異常交易量呈現負相關。(3) ESG的事件衝擊會減少股票異常報酬與異常交易量。[[abstract]]In the securities market, the information of individual investors is relatively incomplete, and it is easy to generate abnormal returns and volume due to emotional fluctuations after the impact of events shock. This paper uses the component stocks of Yuanta Taiwan ESG ETF as observation samples to examine the impact of investor sentiment and ESG events on abnormal returns and volume. The empirical results of this study are as follows: (1) ETF component stock have abnormal returns and abnormal volumes before and after ESG events...
How the behavioral pattern and investors` sentiment affect excess return is one of the challenges of...
We use the returns on lottery-like stocks and a dynamic factor model to con-struct a novel index of ...
[[abstract]]本文以極端交易量做為情緒指標,並將其區分為高情緒指標及低情緒指標兩種,利用EGARCH(1 1)-M來檢驗極端交易量與歐洲(包含英國、德國及法國)、美洲(包含美國及加拿大)和亞...
[[abstract]] 本研究建構一個投資者情緒指標,使用台灣加權股價指數的日資料頻率與台灣指數期貨五分鐘資料頻率與研究標的。首先我們以迴歸分析探討振幅與研究標的報酬率之關係,其次再使用報酬率分析...
This paper examines how the financial markets and individual investors react to ESG controversies fr...
Purpose: Investor sentiment, the willingness of market participants to invest, is a difficult concep...
This empirical analysis investigates the effect of firm-specific ESG news on daily stock returns and...
[[abstract]]本研究主要探討在投資者情緒是否會對股票風險與報酬之間的關係產生影響,實證美股指標S&P500所建構的報酬,旨在研究將投資者情緒列入考量下,股票風險與預期報酬之間的存在正向還是負...
[[abstract]]本研究使用一種不同以往的波動性模型來描述台灣財務市場中條件波動性以及納入極端情緒指標的報酬率動態結構。文中嘗試設定不同類別的異常交易量作為投資人極端情緒的代理變數,並進一步檢視...
Abstract: In this paper, we examine the impact of investor psychological state on their trading volu...
[[abstract]]本文以台灣50成份股為例,研究2006年3月1日至2011年3月25日之日資料,探討前期及本期情緒對大型股、小型股、投機股、穩健股、電子股、金融股及傳產股等類股的本期報酬影響,...
Investor sentiment is a hot topic in behavioral finance. How to measure investor sentiment? Is the i...
An important issue in finance is whether noise traders, those who act on information that has no val...
The aim of this study is to construct a model for evaluating the effects of investor sentiment on th...
Objectives: This research evaluates the effects of overconfidence, disposition effect and investors’...
How the behavioral pattern and investors` sentiment affect excess return is one of the challenges of...
We use the returns on lottery-like stocks and a dynamic factor model to con-struct a novel index of ...
[[abstract]]本文以極端交易量做為情緒指標,並將其區分為高情緒指標及低情緒指標兩種,利用EGARCH(1 1)-M來檢驗極端交易量與歐洲(包含英國、德國及法國)、美洲(包含美國及加拿大)和亞...
[[abstract]] 本研究建構一個投資者情緒指標,使用台灣加權股價指數的日資料頻率與台灣指數期貨五分鐘資料頻率與研究標的。首先我們以迴歸分析探討振幅與研究標的報酬率之關係,其次再使用報酬率分析...
This paper examines how the financial markets and individual investors react to ESG controversies fr...
Purpose: Investor sentiment, the willingness of market participants to invest, is a difficult concep...
This empirical analysis investigates the effect of firm-specific ESG news on daily stock returns and...
[[abstract]]本研究主要探討在投資者情緒是否會對股票風險與報酬之間的關係產生影響,實證美股指標S&P500所建構的報酬,旨在研究將投資者情緒列入考量下,股票風險與預期報酬之間的存在正向還是負...
[[abstract]]本研究使用一種不同以往的波動性模型來描述台灣財務市場中條件波動性以及納入極端情緒指標的報酬率動態結構。文中嘗試設定不同類別的異常交易量作為投資人極端情緒的代理變數,並進一步檢視...
Abstract: In this paper, we examine the impact of investor psychological state on their trading volu...
[[abstract]]本文以台灣50成份股為例,研究2006年3月1日至2011年3月25日之日資料,探討前期及本期情緒對大型股、小型股、投機股、穩健股、電子股、金融股及傳產股等類股的本期報酬影響,...
Investor sentiment is a hot topic in behavioral finance. How to measure investor sentiment? Is the i...
An important issue in finance is whether noise traders, those who act on information that has no val...
The aim of this study is to construct a model for evaluating the effects of investor sentiment on th...
Objectives: This research evaluates the effects of overconfidence, disposition effect and investors’...
How the behavioral pattern and investors` sentiment affect excess return is one of the challenges of...
We use the returns on lottery-like stocks and a dynamic factor model to con-struct a novel index of ...
[[abstract]]本文以極端交易量做為情緒指標,並將其區分為高情緒指標及低情緒指標兩種,利用EGARCH(1 1)-M來檢驗極端交易量與歐洲(包含英國、德國及法國)、美洲(包含美國及加拿大)和亞...