most citedFlexible least squares for temporal data mining and statistical arbitrage

54 citations · 82 across the 9 of their papers we have counts for

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6 papers · 1 filter

q-fin.ST2008

Dynamic modeling of mean-reverting spreads for statistical arbitrage

Kostas Triantafyllopoulos, Giovanni Montana

Statistical arbitrage strategies, such as pairs trading and its generalizations, rely on the construction of mean-reverting spreads enjoying a certain degree of predictability. Gau…

q-fin.ST2008

Forecasting with time-varying vector autoregressive models

K. Triantafyllopoulos

The purpose of this paper is to propose a time-varying vector autoregressive model (TV-VAR) for forecasting multivariate time series. The model is casted into a state-space form th…

q-fin.ST2008

Multivariate stochastic volatility using state space models

K. Triantafyllopoulos

A Bayesian procedure is developed for multivariate stochastic volatility, using state space models. An autoregressive model for the log-returns is employed. We generalize the inver…

q-fin.ST200820 cited

Multivariate stochastic volatility with Bayesian dynamic linear models

K. Triantafyllopoulos

This paper develops a Bayesian procedure for estimation and forecasting of the volatility of multivariate time series. The foundation of this work is the matrix-variate dynamic lin…

q-fin.ST200754 cited

Flexible least squares for temporal data mining and statistical arbitrage

Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris

A number of recent emerging applications call for studying data streams, potentially infinite flows of information updated in real-time. When multiple co-evolving data streams are…

q-fin.ST2007

Fast estimation of multivariate stochastic volatility

Kostas Triantafyllopoulos, Giovanni Montana

In this paper we develop a Bayesian procedure for estimating multivariate stochastic volatility (MSV) using state space models. A multiplicative model based on inverted Wishart and…