Stock Return Predictability in a Monetary Economy
نویسندگان
چکیده
In an economy where agents hold money, the short interest rate determines the trade-off between money holdings and consumption. Building on this idea, we develop a theoretical model that shows the transmission mechanism through which the short rate finds its way to stock-return predictability regressions. We construct a cointegration relation that links share prices and dividends to the short interest rate when we investigate empirically the main implications of our model. This relationship, that we denote the d pdR-ratio, strongly predict stock returns and excess returns, even when the statistical significance of long-horizon return predictability is evaluated using Hodrick (1992) t-statistics. The result that stock returns and excess returns are predictable at long horizons is different from recent findings reported by Ang & Bekaert (2006). We differ from Ang & Bekaert (2006) by explicitly accounting for the non-stationarity of the predictors in a cointegration framework. Our theoretical model also suggests that aggregate output might be better suited as a scaling variable than dividends. As a consequence, we also build a cointegration variable that relates share prices, output, and the interest rate in a cointegration framework. We denote this variable the d pyR-ratio. We show that the d pyR-ratio strongly predicts stock returns and excess returns at long horizons. The d pyR-ratio is also found to have some predictive power for dividend growth which the d pdR-ratio does not. Neither the d pyRratio nor the d pdR-ratio have predictive power for output growth and the interest rate.
منابع مشابه
Investigating the Impact of Time-varying Volatility of Macroeconomic Indices on the Predictability of Optimal Stock Portfolio Return in Tehran Stock Exchange
In this study, 3 models of Time-Varying Parameters (TVP), Dynamic Model Selection (DMS) and Dynamic Model Averaging (DMA) and a comparison with the Ordinary Least Squares (OLS) method in MATLAB in the time period 2003-2013 (with data on a monthly basis) are discussed. In the present study, the variables of unofficial exchange rate changes, interest rate changes and inflation in oil price foreca...
متن کاملInvestigating Predictability of Different "Forms of Return" in Tehran Stock Exchange: Some Rolling Regressions-based Evidence
This paper has provided "out of sample" evidence of stock returns predictability in Tehran Stock Exchange. 68 qualified companies over the period from 2002 to 2015 were selected and for five different "forms of returns", five superior predictive models have been designed by applying "General to specific" approach of modeling technique. Then "out of sample" analysis, based on rolling regressions...
متن کاملStock Market Uncertainty and the Analysis of Monetary Policy shock
Policy makers impose policies to improve economy circumstance in order to achieve economic goals. However, the consequence of these policies along with the intended goals will also influence expectations, fluctuations, etc., and cause changes in levels of uncertainty. The important role of the stock market in the economy, makes it important to examine its uncertainty and its interaction with mo...
متن کاملنوسانات بازار سهام و سیاست پولی در ایران
This paper investigates the relationship between monetary policy and stock market fluctuations for Iranian economy within a DSGE model. This study models the role of monetary policy in two monetary regimes including money growth and Taylor rule with traditional factors and optimal simple rule in the new Keynesian monetary framework with nominal wage and price rigidities in the Iranian economy. ...
متن کاملThe Effect of Uncertainty of Macroeconomic Indicators on Tehran Stock Exchange Return With an Approach of the TVP-SV Model
One of the most important duties of financial economy is modeling and forecasting the volatilities of price of risky assets. From analysts and policy makers’ view, price volatility is a key variable contributing to perception of market volatilities. Therefore, analysts need to have an appropriate of forecast of price volatility as a necessary input to perform duties such as risk management, por...
متن کامل