We construct portfolios based on characteristic weights and develop a novel way to measure capacity of these portfolios to absorb capital. Our estimates suggest that portfolio capacity is the highest for fundamental-weights, whereas portfolios based on momentum, equal risk budget, and equal...

It is crucial to model, quantify and understand the variables and dynamics that underlie the well-known extreme behaviour of spot electricity prices in wholesale markets. We explicitly model the conditional volatility and skewness of electricity prices. A GARCH-type model allowing for...

Skewness is specifically considered to develop semi-parametric upper bounds for option prices and expected payoffs for call options. Bounds on variance default swaps, a new asset, and for the variance risk premium are derived.The Technical Proof for this paper is available at the following URL:...

This paper tackles the issue of expected market return inside an equilibrium risk-return framework that accounts of the incomplete information on returns distribution and investors' preferences. Only moments up to order four of unknown unconditional distribution can be observed, and the model...

We explore in this paper how trading noise, when considered as a market friction, reacts to trading activity. Transactions cost is a good explanation for intraday trading behavior in the market according to our data. Particularly, we show that in general trading brings friction to market....

In this study, we employ a statistical arbitrage approach to demonstrate that momentum investment strategy tend to work better in periods longer than six months, a result different from findings in past literature. Compared with standard parametric tests, the statistical arbitrage method...

We analyze in this study investor trading behavior based not on information related assumptions but on the search model of Vayanos and Wang (2007). Our study shows that search cost dictates trading polarization across investors, firm size and time of day. We find that individual investors prefer...

In nonlinear state-space models, sequential learning about the hidden state can proceed by particle filtering when the density of the observation conditional on the state is available analytically (e.g. Gordon et al. 1993). This condition need not hold in complex environments, such as the...

We investigate the asymptotic properties of an existing high frequency realized skewness measure and propose a more reliable new estimator which is robust to the microstructure noise at ultra-high frequency level. Asymptotic theory for the new estimator has been derived. Simulation example...

In this article I demonstrate the relationship between research and development expenditure, and rm productivity. Using data envelopment, I construct a measure of the firm-level distance from the industry-wide productivity frontier. Firms ex-ante further from the productivity frontier invest...