股票收益和现金流:一种新的资产定价方法

Sonia Di Tomaso, D. M. Montagna, Antonio Amendola
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引用次数: 0

摘要

为此,这项工作的重点是非常规的盈利能力衡量,至少在资产定价模型方面,其中股息或利润被广泛使用。人们的注意力集中在衡量经营性现金流的替代指标上:“扣除资本支出后的Ebitda”。通过对标准普尔500指数股票进行的实证分析,结合主要的定量和统计方法以及尊重宏观经济背景的定性概述,研究了回报-现金流量波动的关系。从相关滚动窗口方法开始,实现了三种不同的回归技术;简单的普通最小二乘回归(OLS),线性分位数(LQR)回归和多元回归模型(MLR),都在股票(季度和同比)和行业(季度,季度,同比)的不同水平上执行。横断面和时间序列结果支持现金流波动对股票表现的影响,并强调其敏感性不仅尊重不同的短期和长期视野,而且在行业敞口方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stock Returns and Cash Flows: A New Asset Pricing Approach
On this purpose, this work is focused on a non-conventional profitability measure, at least in terms of assets pricing models, where dividends or profits are widely used. The attention is focused on a proxy measure of Operating Cash Flows: the “Ebitda after Capex”. The relationship returns – cash flows’ volatility has been examined through an empirical analysis conducted on the stocks of the S&P500 Index combining the main quantitative and statistical approach with a qualitative overview respect the macroeconomic background. Starting from a correlation rolling window approach, three different regressions techniques have been implemented; the simple Ordinary Least Squares regressions (OLS), the linear Quantile (LQR) regression and the Multiple regression model (MLR), all performed at different levels in terms of stocks (QoQ and YoY) and sectors (MoM, QoQ, YoY).

The cross-sectional and time-series results support the effects of cash flow’ volatility on the stocks’ performance and highlighted its sensitivity respect not only the different short-term and long-term horizons, but also in terms of sector’ exposure.
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