Market Mill Dependence Pattern in the Stock Market: Asymmetry Structure, Nonlinear Correlations and Predictability

نویسندگان

  • Andrei Leonidov
  • Vladimir Trainin
  • Alexander Zaitsev
  • Sergey Zaitsev
چکیده

An empirical study of the bivariate probability distribution characterizing a full set of two consecutive price increments x and y for a group of stocks at time scales ranging from one minute to thirty minutes reveals asymmetric structures with respect to the axes y = 0, y = x, x = 0 and y = −x. All four asymmetry patterns remarkably resemble a four-blade mill called market mill pattern. The four market mill patterns characterize different aspects of interdependence between past (push) and future (response) price increments. When analyzed in appropriate coordinates, each pattern corresponds to a particular nonlinear dependence between the push and the conditional mean of response. Qualitative interpretation of each pattern is discussed. The market mill pattern is an evidence of complex dependence properties relating past and future price increments and resulting in various types of nonlinear correlation and predictability. Corresponding author. E-mail [email protected]

برای دانلود 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

Market Mill Dependence Pattern in the Stock Market: Multiscale Conditional Dynamics

Market Mill is a complex dependence pattern leading to nonlinear correlations and predictability in intraday dynamics of stock prices. The present paper puts together previous efforts to build a dynamical model reflecting the market mill asymmetries. We show that certain properties of the conditional dynamics at a single time scale such as a characteristic shape of an asymmetry generating compo...

متن کامل

Market Mill Dependence Pattern in the Stock Market: Modeling of Predictability and Asymmetry via Multi-component Conditional Distribution

Recent studies have revealed a number of striking dependence patterns in high frequency stock price dynamics characterizing probabilistic interrelation between two consequent price increments x (push) and y (response) as described by the bivariate probability distribution P(x, y) [1, 2, 3, 4]. There are two properties, the market mill asymmetries of P(x, y) and predictability due to nonzero z-s...

متن کامل

Reaction of Stock Market Index to Oil Price Shocks

T his study examines how oil price shocks interact with the stock market index within a nonlinear autoregressive distributed lag model in Iran. Based on quarterly data for the period from 1991 to 2017, the findings revealed statistically significant evidence of short-run and long-run asymmetric behavior of stock market index in response to the positive a...

متن کامل

Market Mill Dependence Pattern in the Stock Market: Individual Portraits

This paper continues a series of studies of dependence patterns following from properties of the bivariate probability distribution P(x, y) of two consecutive price increments x (push) and y (response). The paper focuses on individual differences of the P(x, y) for 2000 stocks using a methodology of identification of asymmetric market mill patterns developed in [1, 2]. We show that individual a...

متن کامل

Analysis of Stock Liquidity Indicators in Stock Exchange with DEMATEL-ANP Technique

Identification of stock liquidity indicators and surveying the status of each indicator leads to liquidity risk reduction and confidence for investors. As a result, more resources would be imported into the capital market. This research is about of liquidity stock indicator’s identification, analyzing their effects on each other, the expression of the independence or dependence of the indicator...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006