Modelling financial returns and portfolio construction for the Russian stock market

2014 ◽  
Vol 4 (1/2) ◽  
pp. 32
Author(s):  
Alexey I. Balaev
Keyword(s):  
Stock Market ◽  
Portfolio Construction ◽  
Financial Returns ◽  
Russian Stock Market

scholarly journals Comparative analysis of two portfolio construction methods

2021 ◽  
pp. 48-58
Author(s):  
Оксана Игоревна Сидорова ◽  
Любовь Григорьевна Перевалова ◽  
Мария Сергеевна Воеводина
Keyword(s):  
Comparative Analysis ◽  
Stability Analysis ◽  
Stock Market ◽  
Comparative Study ◽  
Statistical Modeling ◽  
Optimal Portfolio ◽  
Market Model ◽  
Portfolio Construction ◽  
Construction Methods ◽  
Russian Stock Market

В данной статье сравниваются два подхода к формированию рискового портфеля ценных бумаг: модель Марковица и рыночная модель. На примере ценных бумаг российского фондового рынка за период 03.01.2019-24.03.2021 гг. производится формирование оптимальных портфелей в зависимости от отношения инвестора к риску. Сравнительный анализ характеристик портфелей, включая доходность, риск и VaR и проверка результатов на устойчивость осуществляется с помощью методов статистического моделирования. In this article we compare two different approaches to the optimal portfolio construction: the Markowitz model and the market model. We analyse the Russian stock market for the period 03.01.2019-24.03.2021 and choosing among the securities depending on the investor’s risk preferences. Comparative study of the portfolios are based on their profitability, risk, and VaR. Stability analysis is carried out by statistical modeling.

How to Assure Stable Development in Unstable Financial Environment?

2007 ◽  
pp. 4-26 ◽  
Author(s):  
M. Ershov
Keyword(s):  
Stock Market ◽  
Developed Countries ◽  
Market Liquidity ◽  
Market Mechanisms ◽  
Russian Economy ◽  
The Developed Countries ◽  
Russian Stock Market ◽  
Stable Development ◽  
Financial Environment

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.

Pricing models of shares of Russian companies and their practical application

2019 ◽  
pp. 48-76 ◽  
Author(s):  
Alexander E. Abramov ◽  
Alexander D. Radygin ◽  
Maria I. Chernova
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Factor Model ◽  
Investment Strategies ◽  
Pricing Models ◽  
Foreign Portfolio Investment ◽  
Market Portfolio ◽  
Stock Market Performance ◽  
Long Time ◽  
Russian Stock Market

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.

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
Keyword(s):  
Stock Market ◽  
Information Technologies ◽  
Real Data ◽  
Weak Form ◽  
Fair Value ◽  
Presidential Decree ◽  
Day Of The Week ◽  
Russian Stock Market ◽  
Economic Growth Rates ◽  
Global And Local

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.

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