Modeling financial volatility is an important part of empirical finance. This paper provides a literature review of the most relevant volatility models, with a particular focus on forecasting models. We firstly discuss the empirical foundations of different kinds of volatility. The paper, then, analyses the non-parametric measure of volatility, named realized variance, and its empirical applica...

We exploit the expiring nature of hedge fund lockups to create a dynamic, fund-level proxy of funding liquidity risk. In contrast to the prior literature, our measure allows us to identify how within-fund changes in funding liquidity risk are associated with performance and risk taking. Lockup funds with lower funding liquidity risk take more tail risk and have better risk-adjusted performance,...

We develop a multi-asset trading model to examine the closed-end fund discount. The model shows that the discount can arise if the quality of private information in the underlying assets is sufficiently better than in the fund. The model also indicates that a discount (premium) can arise if the excessive volatility of the fund dominates (is dominated by) the fund’s diversification benefit. More...

We propose a direct and robust method for quantifying the variance risk premium on financial assets. We show that the risk-neutral expected value of return variance, also known as the variance swap rate, is well approximated by the value of a particular portfolio of options.We propose to use the difference between the realized variance and this synthetic variance swap rate to quantify the varia...

This paper uses MSA level data and a panel VAR model to analyze the dynamic determination and impact of the volatility of single-family home value appreciation. We find that the volatility can be magnified by an exogenous increase in the home appreciation rate, responds to changes in the population growth rate, and is serially correlated. Moreover, an exogenous increase in the volatility increa...

Evidence indicates that people fear change and the unknown. We model this behavior as familiarity bias in which individuals focus on adverse scenarios in evaluating defections from the status quo. The model explains portfolio underdiversification, home and local biases. More importantly, equilibrium stock prices reflect an unfamiliarity premium. In an international setting, our model predicts t...

Resampling implementation of a stress-scenario approach to estimating portfolio default loss distributions is proposed as the basis for estimates of the appropriate absolute level of economic capital allocations for portfolio credit risk. Estimates are presented for stress scenarios of varying severity and implications of different time horizons are analyzed. Results for a numeraire portfolio a...

This paper documents order submission strategies during the Toronto Stock Exchange’s pre-opening session. I find that the registered trader (RT) actively participates in the market opening despite not being able to set the opening price directly and not having an apparent informational advantage. I find that RT opening trades are profitable, are able to moderate overnight price changes, and may...

We uncover significant effects of jump risk on conditional equity premium. Realized volatility due to negative or “bad” (positive or “good”) jumps in stock market prices predicts a rising (falling) near-term equity premium. The forecasting power of signed jump risk measures remains statistically significant even when we control for variance risk premium that Drechsler and Yaron (2011) attribute...

During the latter part of the 1990s the introduction of the euro, the dramatic increase in the supply of venture capital in most EU countries, and the creation of several ‘new’ equity markets targeted at innovative firms have dramatically transformed the financing prospects of European entrepreneurial firms. In this study we contribute to a deeper understanding of their actual relevance by (i) ...