In this paper, we examine the structural stability of predictive regression models of quarterly real stock returns over the postwar era. We consider predictive regressions models of S&P 500 and CRSP equal-weighted real stock returns based on eight financial variables that display predictive ability in the extant literature. We test for structural stability using the popular Andrews (1993) SupF ...

In this paper, we consider the role of “leads” of the first difference of integrated variables in the dynamic OLS estimation of cointegrating regression models. Specifically, we investigate Stock and Watson’s (1993) claim that the role of leads is related to the concept of Granger causality by a Monte Carlo simulation. From the simulation results, we find that the dynamic OLS estimator without ...

Abstract The aim of this paper is to analyze the long-lasting dynamic relationship between credit default swap (CDS) premia and government bond spreads (GBS), with regard sovereign risk. practical focus evaluate whether CDS market effectively leading or lagging in risk price discovery process during last decade monetary easing. analysis extends all “sensitive” countries Eurozone, so-called “PII...

this paper estimates a structural cointegrating varx model with exogenous variables for iran. the long-run macroeconomic relationships are identified and tested within this framework. we make use of the generalized forecast error variance decomposition to analyze the dynamic properties of the model in response to different shocks. we also examine via the persistence profiles, the speed of adjus...

Much of the inflation forecasting literature examines the ability of macroeconomic indicators to accurately predict mean inflation. For the period after 1984, existing empirical evidence largely suggests that the likelihood of accurately predicting inflation using macroeconomic indicators is no better than a random walk model. We expand the scope of inflation predictability by exploring whether...

In this paper, we evaluate the performance of a number of forecasting models of U.S. business fixed investment spending growth over the recent 1995:1-2004:2 out-of-sample period at multiple forecast horizons. The forecasting models are based on the conventional Accelerator, Neoclassical, Average Q, and Cash-Flow models of investment spending, as well as empirical models developed more recently ...

This paper analyzes the ability of both economic variables and moving-average rules to forecast the monthly U.S. equity premium using out-of-sample tests for 1960–2008. Both approaches provide statistically and economically significant out-of-sample forecasting gains, which are concentrated in U.S. business-cycle recessions. Nevertheless, economic variables and moving-average rules capture diff...

sharp increase in oil price and the volatility in recent decades have attracted most researchers towards the field of energy. it seems not only the direct oil price, but also the uncertainty caused by the oil price volatility affect the raw oil supply. in this research the effect of oil price volatility on oil supply has been estimated using monthly time series data from january 1980 to septemb...

Article history: Accepted 25 February 2013 JEL classification: G12 G14 E43