Copula estimation for nonsynchronous financial data

04/23/2019
by   Arnab Chakrabarti, et al.
0

Copula is a powerful tool to model multivariate data. Due to its several merits Copula modelling has become one of the most widely used methods to model financial data. We discuss the problem of modelling intraday financial data through Copula. The problem originates due to the nonsynchronous nature of intraday financial data whereas to estimate the Copula, we need synchronous observations. We show that this problem may lead to serious underestimation of the Copula parameter. We propose a modification to obtain a consistent estimator in case of Elliptical Copula or to reduce the bias significantly in case of general copulas.

READ FULL TEXT
research
04/20/2021

GARCH-UGH: A bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series

The Value-at-Risk (VaR) is a widely used instrument in financial risk ma...
research
03/09/2023

Distributional Vector Autoregression: Eliciting Macro and Financial Dependence

Vector autoregression is an essential tool in empirical macroeconomics a...
research
01/30/2022

Clearing Payments in Dynamic Financial Networks

This paper proposes a novel dynamical model for determining clearing pay...
research
09/10/2018

Comparison of Sobol' sequences in financial applications

Sobol' sequences are widely used for quasi-Monte Carlo methods that aris...
research
01/14/2019

Remarks on stochastic automatic adjoint differentiation and financial models calibration

In this work, we discuss the Automatic Adjoint Differentiation (AAD) for...
research
01/29/2018

Structured Spreadsheet Modelling and Implementation with Multiple Dimensions - Part 1: Modelling

Dimensions are an integral part of many models we use every day. Without...
research
06/24/2018

Equalizing Financial Impact in Supervised Learning

Notions of "fair classification" that have arisen in computer science ge...

Please sign up or login with your details

Forgot password? Click here to reset