Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price...

We examine a recent high-frequency spot EUR-USD foreign exchange transaction data from an electronic foreign exchange market. Our framework is based on a continuous time sequential microstructure trade model which measures the market maker's beliefs directly. We present evidence of the strategic...

We propose a framework that allows a portfolio manager to quantify the probability of simultaneous losses in multiple assets of a collateral portfolio. Using this framework, we propose a methodology to conduct stress tests on the market value of the portfolio of collateral when undesirable...

In this paper we examine how the use of extreme value theory yields collateral requirements that are robust to extreme fluctuations in the market price of the asset used as collateral. In particular, we study the risk and cost attributes of market risk measures by constructing a risk-cost...

We examine the dynamics of extreme values of overnight borrowing rates in an inter-bank money market before a financial crisis during which overnight borrowing rates rocketed up to (simple annual) 4000 percent. It is shown that the generalized Pareto distribution fits well to the extreme values...

We derive two risk adjusted performance measures for investors with risk averse preferences. Maximizing these measures is equivalent to maximizing the expected utility of an investor. The first measure, X(eff), is derivedassuming a constant risk aversion while the second measure, R(eff),is based...

This paper studies the statistical properties of the price, volatility and tick dynamics of the intraday Eurofutures markets by utilizing the transactions and quote data. We build two different types of price series, by position and by contract. The findings indicate numerous sources of intraday...

This paper studies the statistical properties of the price and volatility dynamics of the intraday Eurofutures markets by utilizing the transactions and quote data. We build two different types of price series, by position and by contract. The findings indicate numerous sources of intraday and...

Volatility clustering, with autocorrelations of the hyperbolic decay rate, is unquestionably one of the most important stylized facts of financial time series. This paper presents a market microstructure model, that is able to generate volatility clustering with hyperbolic autocorrelations...