We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differ in their...

Net corporate profits have persisted at historical highs for almost 10 years. Such levels exceed what can be profitably re-invested, as evidenced by aggregate dividend payouts and buybacks nearing 6% of GDP. We argue that at such levels corporate profits operate effectively as a tax on the...

We present a production-based model in which agents have heterogeneous risk aversion and heterogeneous discount rates. When the less risk-averse agent is more impatient, the two types of agents can coexist for a long time. The heterogeneity in risk aversion and discount rate induces the wealth...

We examine whether the uncertainty avoidance culture and the stringency of government response play a role in shaping the stock market’s response to COVID-19. We find that: Investors’ response to the pandemic will not only depend on their instinct of uncertainty aversion but also on their...

We present the case for the centrality of overreaction in expectations for addressing important challenges in finance and macroeconomics. First, non-rational expectations by market participants can be measured and modeled in ways that address some of the key challenges posed by the rational...

We examine the effect of demographic shifts on asset prices in an overlapping generations model with endogenous population dynamics. We establish a robust inverse relationship between returns and the old dependency ratio. We document the absence of a simple monotonic relationship between asset...

This paper investigates the forecasting performance of three popular variants of the non-linear GARCH models, namely VS-GARCH, GJR-GARCH and Q-GARCH, with the symmetric GARCH(1,1) model as a benchmark. The application involves ten European stock price indexes. Forecasts produced by each...

ARCH modelling framework of Engle (1982) and its GARCH generalization of Bollerslev (1986) gave a huge impetus to econometric model building in the field of financial time series with time-varying variance. The main idea of the models was to describe the most typical features of capital markets...

ARCH modelling framework of Engle (1982) and its GARCH generalization of Bollerslev (1986) gave a huge impetus to econometric model building in the field of financial time series with time-varying variance. The main idea of the models was to describe the most typical features of capital markets...

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...