Arbeitspapier

Conditional Correlations in the Returns on Oil Companies Stock Prices and Their Determinants

The identification of the forces that drive stock returns and the dynamics of their associated volatilities is a major concern in empirical economics and finance. This analysis is particularly relevant for determining optimal hedging strategies based on whether shocks to the volatilities of returns of oil companies stock prices, relevant stock market indexes and oil spot and futures prices are high or low, and positively or negatively correlated. This paper investigates the correlations of volatilities in the stock price returns and their determinants for the most important integrated oil companies, namely Bp (BP), Chevron-Texaco (CVX), Eni (ENI), Exxon-Mobil (XOM), Royal Dutch (RD) and Total-Fina Elf (TFE). We measure the actual co-risk in stock returns and their determinants “within” and “between” the different oil companies, using multivariate cointegration techniques in modelling the conditional mean, as well as multivariate GARCH models for the conditional variances. We focus first on the determinants of the market value of each company using the cointegrated VAR/VECM methodology. Then we specifiy the conditional variances of VECM residuals with the Constant Conditional Correlation (CCC) multivariate GARCH model of Bollerslev (1990) and the Dynamic Conditional Correlation (DCC) multivariate GARCH model of Engle (2002). The “within” and “between” DCC indicate low to high/extreme interdependence between the volatilities of companies' stock returns and the relevant stock market indexes or Brent oil prices.

Language
Englisch

Bibliographic citation
Series: Nota di Lavoro ; No. 71.2004

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
General Financial Markets: General (includes Measurement and Data)
Energy: General
Subject
Constant conditional correlations
Dynamic conditional correlations
Multivariate GARCH models
Stock price indexes
Brent oil prices
Spot and futures prices
Multivariate cointegration
VECM
Mineralölwirtschaft
Kapitaleinkommen
Aktienmarkt
Volatilität
Kointegration
Welt
Korrelation

Event
Geistige Schöpfung
(who)
Manera, Matteo
Giovannini, Massimo
Grasso, Margherita
Lanza, Alessandro
Event
Veröffentlichung
(who)
Fondazione Eni Enrico Mattei (FEEM)
(where)
Milano
(when)
2004

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Manera, Matteo
  • Giovannini, Massimo
  • Grasso, Margherita
  • Lanza, Alessandro
  • Fondazione Eni Enrico Mattei (FEEM)

Time of origin

  • 2004

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