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運用半參數平滑係數分量廻歸法探討產業與股市大盤間資訊傳遞速度 / Using Semiparametric Smooth Coefficient Quantile Regression Model to Analyze the Information Diffusion between Industries and Stock Markets

傳統財務理論認為市場具有效率,在投資者具有理性且追求最大效用的假設下,股價應能迅速且完全的反應所有資訊,但近年來許多學者研究發現一些違反傳統定價理論和效率市場的實證結果。為解釋上述傳統定價理論無法解釋的異常現象,以心理學對投資人決策過程的研究成果為基礎,重新檢視整體市場價格的行為財務學便獲得重視。
本文使用半參數平滑係數分量廻歸模型,利用1988至2007最近20年的月資料,檢視G7各國在不同大盤表現分量上,不同產業股價超額報酬率,是否造成總體經濟指標對大盤未來超額報酬率的邊際影響有所不同?藉以了解各國在不同股市報酬率分量上的資訊傳遞速度與彼此間的差異。此外,利用半參數平滑係數分量廻歸模型,亦可觀察產業超額報酬率如何直接影響未來大盤超額報酬率,不但較傳統最小平方法(ordinary least squares, OLS)更富有彈性,也能觀察在不同分量上的變化情形。
本文發現美國各產業超額報酬率,對未來大盤超額報酬率的直接或間接影響,在不同大盤表現分量上呈現很大差異,未來大盤超額報酬率皆明顯隨著產業超額報酬率的改變而變動;至於其他六國,亦有相似情況,顯示投資人無法即時解讀產業資訊對未來總體經濟的影響,導致產業資訊於產業與大盤間緩慢擴散。 / In this paper, we use semiparametric smooth coefficient quantile regression model to analyze the information diffusion between industries and stock markets. Under different quantile of stock market performances, we examine whether the returns of industry portfolios cause macroeconomic indicator to affect the future stock market performance marginally using data on monthly returns to G7 industry portfolios for the years between 1988 and 2007. We find that the returns of industry portfolios in USA affect the future stock market performance directly or indirectly which display much variously. Moreover, the other counties of G7 also have the same situation. Hence, these findings indicate that investors are unable to understand the influence of industry shocks on macroeconomic activities and information diffuses across investors in different markets only gradually.

Identiferoai:union.ndltd.org:CHENGCHI/G0094352009
Creators楊國偉, Yang, Kuo-Wei
Publisher國立政治大學
Source SetsNational Chengchi University Libraries
Language中文
Detected LanguageEnglish
Typetext
RightsCopyright © nccu library on behalf of the copyright holders

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