| 研究生: |
劉祝濤 stephenlao |
|---|---|
| 論文名稱: |
資產定價與意見分歧之關聯性 ASSET PRICING AND THE DIVERGENCE OF OPINION |
| 指導教授: |
黃泓人
Hongren Huang |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 財務金融學系 Department of Finance |
| 論文出版年: | 2014 |
| 畢業學年度: | 102 |
| 語文別: | 中文 |
| 論文頁數: | 52 |
| 中文關鍵詞: | 意見分歧 、股票市場 、債券市場 |
| 外文關鍵詞: | Divergence of opinion, stock market, credit market |
| 相關次數: | 點閱:9 下載:0 |
| 分享至: |
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摘要
本文在 Longstaff and Wang(2008)之基礎上,加入隨股利變動的意見分歧(Divergence of opinion )函數,建構了連結股票市場和債券市場的資產定價模型。該模型中,以投資人的跨市場交易形成了不同市場的聯繫機制。本研究發現:高意見分歧下,股票價格僅反映了風險偏好者的預期和判斷,繼而使市場的折現因子(Discount factor)下降,股價盈餘比(P/E ratio)上升。由於意見分歧的均值回歸(Mean reverting)特性,此時預期報酬率會較低。這一結論並不支持視意見分歧為風險的論斷,卻印證了 Miller(1977)之邏輯。同時,風險厭惡者轉向債券市場,增加了需求,推高債券價格,利率下降。本文之實證檢定以 2003.5.2-2013.4.8 的台灣加權指數為樣本,進行時間序列(Time series)回歸。在檢定中,發現市場分歧和股價盈餘比顯著正相關,與一年期預期報酬率負相關。這和模型預測基本一致。
Abstract
Based on Longstaff and Wang(2008), We set a divergence-of-opinion function varies with stock dividend, and construct an asset pricing model incorporating the stock market and credit market. In our model, investors trades both stock and bond,thus forming the connecting mechanism across two markets. Our study suggests that when divergence-of-opinion is high, the stock price reflects only optimistic view,resulting in a decrease in discount factor and thus an increase in Price/Earnings ratio.For the Mean-reverting character of divergence-of-opinion between investors,
expected return would be lower at this moment. Our conclusion provides evidence for Miller(1977), yet is inconsistent with a view that divergence-of-opinion in the market proxies for risk. Meanwhile, the pessimistic investors would turn to the credit market,which spurs the bond demand and price, brings down the interest rate. Using TAIEX index from 2003.5.2 to 2013.4.8 as our selected sample, we conduct time series regression. This empirical test shows that divergence-of-opinion in the market is
positively related with Price/Earnings ratio significantly, and negatively related with one-year-period expected return, which is consistent with our theoretical prediction.
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