Investigation of Timing Anomalies in the Russian Stock Market in the Post-Crisis Period

2019 ◽  
Vol 12 (3) ◽  
pp. 37-47
Author(s):  
I. Ya. Lukasevich

The implementation of the May presidential decree aimed at Russia’s joining the top five global economies and achieving economic growth rates above the world’s average while maintaining macroeconomic stability requires a highly developed and efficient stock market ensuring the accumulation of capital and its deployment in the most promising and productive sectors of the economy.The subject of the research is timing anomalies in the Russian stock market in 2012–2018. The relevance of the research is due to the information inefficiency of the Russian stock market and its imperfections leading to significant price deviations from the «fair» value of assets and depriving investors of the opportunity to form various strategies for deriving additional revenues not related to fundamental economic factors and objective processes occurring in the global and local economies and the economy of an individual business entity. Based on the trend analysis of the Broad Market USD Index (RUBMI), the paper demonstrates a methodology for simulating the analysis of price anomalies on large arrays of real data using statistical data processing methods and modern information technologies. The paper concludes that though the Russian stock market lacks even the weak form of efficiency, such well-known timing anomalies as the “day-of-the-week” effect and the “month” effect have not been observed in the recent years. Therefore, investors could not use these anomalies to derive regular revenues above the market average.

Author(s):  
Carl B. McGowan, Jr. ◽  
Izani Ibrihim

In this paper, we evaluate the weak form efficiency of the Russian Stock market using the Russian trading System Index for the period when the market opened in 1995 to August 2003 by testing for a day-of-the-week effect using ARCH/GARCH analysis. There does appear to have been a speculative bubble in the run-up to the market peak in late 1997 to early 1998 that burst when the government defaulted on debt. However, based on the empirical results of this paper, it appears that the RTSI does have a day-of-the-week effect. However, returns are lowest on Wednesday and highest on Friday and returns are positive on every day except Wednesday. Thus, we posit a three day weekend effect from Thursday to Monday.


Author(s):  
Carl B. McGowan, Jr.

In this paper, we evaluate the weak form efficiency of the Russian Stock Market using the Russian Trading System Index for the period from when the market opened, September 4, 1995 to June 1, 2007. There does appear to have been a speculative bubble in the run-up to the market peak in late 1997/early 1998 that burst when the government defaulted on debt. However, based on the empirical results of this paper, it appears that the RTSI is generally weak form efficient, particularly in the last eight periods of the study. This weak form efficiency is not surprising given the international interest in the Russian Stock Market and because the RTSI is denominated in US dollars.


Author(s):  
Natalia Abrosimova ◽  
Gishan Dissanaike ◽  
Dirk Linowski

Author(s):  
I. Lukasevich

This paper presents the results of the study of the fulfillment of the key conditions and prerequisites of the hypotheses of the efficiency and fractality of price behavior in financial markets for the period 1997–2021. Its relevance is due to the high volatility of the Russian stock market and its imperfections, which lead to significant price deviations. On the example of the analysis of the dynamics of the MOEX stock index, the method of testing the dynamics of prices on large arrays of real data with the use of statistical data processing methods and modern information technologies is demonstrated. The article concludes that the nature of the Russian market as a whole has a fractal character. At the same time, the assumptions underlying the hypothesis of information efficiency of the market are not fulfilled.


2014 ◽  
Vol 30 (2) ◽  
pp. 567 ◽  
Author(s):  
Kashif Saleem

<p>This paper studies the market efficiency of modern Russian stock market. In particular, we look at the long memory in stock market volatility in the Russian financial market. To examine the temporal dependencies in depth we utilize major sectors of the Russian stock market. We take a GARCH modeling approach. Specifically, we estimate a FIGARCH model proposed by Baillie et al. (1996) using daily returns. We find evidence of long memory in all sectors of the Russian equity market, implying that, all the market sectors under investigation are weak form inefficient. Our results show that the volatility has a predictable structure in all the sectors of modern Russian stock market, signifying the need of regulatory and economic reforms within the Russian financial system.</p>


2007 ◽  
pp. 4-26 ◽  
Author(s):  
M. Ershov

Growing involvement of Russian economy in international economic sphere increases the role of external risks. Financial problems which the developed countries are encountered with today result in volatility of Russian stock market, liquidity problems for banks, unstable prices. These factors in total may put longer-term prospects of economic growth in jeopardy. Monetary, foreign exchange and stock market mechanisms become the centerpiece of economic policy approaches which should provide for stable development in the shaky environment.


2019 ◽  
pp. 48-76 ◽  
Author(s):  
Alexander E. Abramov ◽  
Alexander D. Radygin ◽  
Maria I. Chernova

The article analyzes the problems of applying stock pricing models in the Russian stock market. The novelty of the study lies in the peculiarities of the methodology used and the substantive conclusions on the specifics of the influence of fundamental factors on the pricing of shares of Russian companies. The study was conducted using its own 5-factor basic pricing model based on a sample of the most complete number of issues of shares of Russian issuers and a long time horizon, from 1997 to 2017. The market portfolio was the widest for a set of issuers. We consider the factor model as a kind of universal indicator of the efficiency of the stock market performance of its functions. The article confirms the significance of factors of a broad market portfolio, size, liquidity and, in part, momentum (inertia). However, starting from 2011, the significance of factors began to decrease as the qualitative characteristics of the stock market deteriorated due to the outflow of foreign portfolio investment, combined with the low level of development of domestic institutional investors. Also identified is the cyclical nature of the actions of company size and liquidity factors. Their ability to generate additional income on shares rises mainly at the stage of the fall of the stock market. The results of the study suggest that as domestic institutional investors develop on the Russian stock market, factor investment strategies can be used as a tool to increase the return on investor portfolios.


Sign in / Sign up

Export Citation Format

Share Document