activity
20072019
most citedFlexible least squares for temporal data mining and statistical arbitrage

54 citations · 130 across the 15 of their papers we have counts for

collaborators

15 papers

math.ST2019

Lomax distribution and asymptotical ML estimations based on record values for probability density function and cumulative distribution function

Saman Hosseini, Dler Hussein Kadir, Kostas Triantafyllopoulos

Here in this paper, it is tried to obtain and compare the ML estimations based on upper record values and a random sample. In continue, some theorems have been proven about the beh…

stat.ME2013★ 5 cited

Real-time covariance estimation for the local level model

K. Triantafyllopoulos

This paper develops on-line inference for the multivariate local level model, with the focus being placed on covariance estimation of the innovations. We assess the application of…

q-fin.CP2013★ 13 cited

Multivariate stochastic volatility modelling using Wishart autoregressive processes

K. Triantafyllopoulos

A new multivariate stochastic volatility estimation procedure for financial time series is proposed. A Wishart autoregressive process is considered for the volatility precision cov…

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…

stat.ME2008

A note on state space representations of locally stationary wavelet time series

K. Triantafyllopoulos, G. P. Nason

In this note we show that the locally stationary wavelet process can be decomposed into a sum of signals, each of which following a moving average process with time-varying paramet…

stat.ME2008★ 8 cited

Missing observation analysis for matrix-variate time series data

K. Triantafyllopoulos

Bayesian inference is developed for matrix-variate dynamic linear models (MV-DLMs), in order to allow missing observation analysis, of any sub-vector or sub-matrix of the observati…