Multivariate Pair Trading by Volatility Model Adaption Trade-off

06/11/2021
by   Chenyanzi Yu, et al.
0

Pair trading is one of the most discussed topics among financial researches. Despite a growing base of work, portfolio management for multivariate time series is rarely discussed. On the other hand, most researches focus on refining strategy rules instead of finding the optimal portfolio weight. In this paper, we brought up a simple yet profitable strategy called Volatility Model Adaption Trade-off (VMAT) to leverage the issues. Experiment studies show its superior profit performance over baselines.

READ FULL TEXT
research
05/24/2023

Modeling Multiple Irregularly Spaced Financial Time Series

In this paper we propose univariate volatility models for irregularly sp...
research
10/25/2020

Trading Strategies of a Leveraged ETF in a Continuous Double Auction Market Using an Agent-Based Simulation

A leveraged ETF is a fund aimed at achieving a rate of return several ti...
research
04/21/2020

Clustering volatility regimes for dynamic trading strategies

We develop a new method to find the number of volatility regimes in a no...
research
03/25/2020

Cryptocurrency Trading: A Comprehensive Survey

Since the inception of cryptocurrencies, an increasing number of financi...
research
07/23/2019

Trading via Image Classification

The art of systematic financial trading evolved with an array of approac...
research
04/24/2020

Trading Foreign Exchange Triplets

We develop the optimal trading strategy for a foreign exchange (FX) brok...
research
05/25/2017

Stock Trading Using PE ratio: A Dynamic Bayesian Network Modeling on Behavioral Finance and Fundamental Investment

On a daily investment decision in a security market, the price earnings ...

Please sign up or login with your details

Forgot password? Click here to reset