Testing for uncorrelation or for a functional relationship between price and volatility jumps

نویسندگان

  • Jean Jacod
  • Claudia Klüppelberg
  • Gernot Müller
چکیده

Many continuous-time stochastic volatility models exhibit certain functional relationships between jumps in the price and volatility. These relations allow for the construction of tests and, hence, to test these models for high-frequency data. We present such tests in a fairly general context and derive some of their properties. We investigate their behavior in a simulation study. Finally we apply our tests to three data sets. It turns out that all models are rejected during most time periods. A similar test for no correlation of jumps in prices and volatilities cannot be rejected. This sheds new light on economically motivated statements on causality between jumps in prices and volatilities. MSC2010 Subject Classification: Primary 62F03, 62M02 Secondary 60H10, 60J60

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Testing for non-correlation or for a functional relationship between price and volatility jumps

Many prominent continuous-time stochastic volatility models exhibit certain functional relationships between price jumps and volatility jumps. In this paper we construct tests for such relationships in a fairly general context, derive some of their theoretical properties, and investigate their behavior in a simulation study. We apply our tests to three high-frequency data sets from finance. It ...

متن کامل

Functional Relationships Between Price and Volatility Jumps and Their Consequences for Discretely Observed Data

Many prominent continuous-time stochastic volatility models exhibit certain functional relationships between price jumps and volatility jumps. We show that stochastic volatility models like the Ornstein-Uhlenbeck and other continous-time CARMA models as well as continous-time GARCH and EGARCH models all exhibit such functional relations. We investigate the asymptotic behaviour of certain functi...

متن کامل

Effect of Dividend Policy Measures on Stock Price volatility in Tehran Stock Exchange

This paper aims to determine the impact of dividend policy on stock price volatility by taking firms listed on Tehran stock exchange.  A sample of 68 listed companies from Tehran stock exchange is examined for a period from 2001 to 2012.  The estimation is based on cross-sectional ordinary least square regression analysis to find the relationship between share price volatility and dividend poli...

متن کامل

A Copula-based Quantile Model for Crude oil Return-Volatility Dependence Modelling: Case of Iran Heavy Oil

The main purpose of this study is to investigate the relationship between Iran’s heavy crude oil price returns and volatility dependence using the Copula-based quantile model (CQM). CQM is an efficient tool for analyzing nonlinear time series models as it has no need for initial assumptions.  We use monthly data from January 1990 to December 2019. We use the Hadrick-Prescott filter to calculate...

متن کامل

Studying the Dividend Policy and Share Price Volatility: Iran Evidence

Explaining dividend policy has been one of the most difficult challenges facing financial economists. Despite decades of study, we have yet to completely understand the factors that influence dividend policy and the manner in which these factors interact.The aim of this paper is to examine the relation between dividend policy and share price volatility in Tehran Stock Exchange (TSE). The analys...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010