Ljungqvist and Sargent (2017) (LS) show that unemployment fluctuations can be understood in terms of a quantity they call the "fundamental surplus." However, their analysis ignores risk premia, a force that Hall (2017) shows is important in understanding unemployment fluctuations. We show how...

A standard production-based asset pricing model with labor frictions implies a negative relation between job postings and expected stock market returns. As the discount rate rises in recessions, the present value of hiring declines and firms optimally post fewer job openings. We confirm this...

We show that labor force telework flexibility (LFTF) is a first-order effect in accounting for the variations of asset prices and firm policies during the COVID-19 pandemic. Specifically, firms in high LFTF industries significantly outperform firms in low LFTF industries in stock returns. The...

The main objective of this study is to assess the macroeconomic determinants of stock price variability in Pakistan. The quarterly data on macroeconomic variables (Gross Domestic Product, Foreign Direct Investment, Interest Rates, Exports, Money Supply and Unemployment Rate) and KSE-100 Index as...

This Appendix contains details on several technical points and additional empirical results. Sections in this Appendix are indexed by letters and formulas/tables/figures by a letter followed by a number (e.g. A.1). Sections and formulas/tables/figures of the paper are referenced by numbers. In...

Recent work showed that securities prices behave as quantum chaotic quantities that described by quantum equations. We study pricing of European style options under that framework. The resulting volatility surface exhibits the smile and other characteristics of equity options. Additionally, we...

We develop a Markov-Switching Autoregressive Conditional Intensity (MS-ACI) model with time-varying transitional parameters, and show that it can be reliably estimated via the Stochastic Approximation Expectation-Maximization algorithm. Applying our model to high-frequency transaction data, we...

We document the forecasting gains achieved by incorporating measures of signed, finite and infinite jumps in forecasting the volatility of equity prices, using high-frequency data from 2000 to 2016. We consider the SPY and 20 stocks that vary by sector, volume and degree of jump activity. We use...

GARCH type models, with one disturbance to the return of a financial asset, have not been considered as a framework for measuring the contemporaneous correlation between the return shock and the volatility shock. We show that the contemporaneous correlation can be quantified within an EGARCH...

This paper develops a two-sector dynamic stochastic general equilibrium model to measure intangible capital stock and studies the implied riskiness of market value of capital. The equilibrium of the economy is characterized by a state-space representation of dynamic system. Kalman filter...