scholarly journals Behavior of financial markets efficiency during the financial market crisis: 2007 – 2009

2014 ◽  
Vol 11 (2) ◽  
pp. 473-487 ◽  
Author(s):  
Ronald Henry Mynhardt ◽  
Alexey Plastun ◽  
Inna Makarenko

This paper examines the behavior of financial markets efficiency during the recent financial market crisis. Using the Hurst exponent as a criterion of market efficiency we show that level of market efficiency is different for pre-crisis and crisis periods. We also classify financial markets of different countries by the level of their efficiency and reaffirm that financial markets of developed countries are more efficient than the developing ones. Based on Ukrainian financial market analysis we show the reasons of inefficiency of financial markets and provide some recommendations on their solution and thus improving the efficiency.

Financial markets generate vast data every trading day. There are markets for equity shares, commodities, fixed income securities and currencies etc. Further, we do have organised markets for financial ddderivatives. The exponential growth of financial markets isthe order of the modern-day. Developments in information and communication technology (ICT) helped the growth of financial markets and its operations to greater heights. One of the financial market analysis is Candlestick Technical analysis also is known as Japanese candlestick charting. It is the oldest form of financial market analysis originated in japan. This study measured the occurrence and tested the efficiency of various bullish reversal candlestick patterns on 17 stocks of India’s leading stock market benchmark index NIFTY 50 for the period of 16 years from 2000 to 2015.Data mining with backtesting methodology is used to find the top 10 candlestick patterns with respect to the frequency of occurrence during the study period. The efficiency profitability is analysed using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method , a multi-criteria decision making (MCDM) method on the backtested results for the 5-day holding period.The results of the study show that hammer (HMR), long engulfing pattern (LEB) and Rising window (RSW) are the top three ranked candlestick patterns.


2008 ◽  
Vol 48 ◽  
Author(s):  
Svetlana Danilenko

This work discusses the application of R/S analysis to financial markets. The most of the work is devoted to the calculation of Hurst parameter. The Hurst parameters of the Baltic state shares indices are presented.


Author(s):  
Emna Mnif ◽  
Bassem Salhi ◽  
Anis Jarboui

Purpose The purpose of this paper is to present the Islamic stock and Sukuk market efficiency and focus on the presence of investor herding behaviour (HB) captured by Hurst exponent estimation. Design/methodology/approach The Hurst exponent was estimated with various methods. The authors studied the evolving efficiency of the “Dow Jones” indices from 1 January 2010 to 30 December 2016 using a rolling sample of the Hurst exponent. In addition, they used a time-varying parameter method based on the Hurst of delayed returns. After that, the robust Hurst method was considered. In the next step, the efficiency of the different activity types of Islamic bonds was studied using an efficiency index. Finally, the Hurst exponent estimates were applied to assess the presence of HB. Findings The results show that, firstly, there’s a strong correlation between the “DJIM” and “DJSI” prices and returns. Secondly, by using robust Hurst estimate, it is observed that the “DJIM” is the most efficient market. The Hurst exponent estimation results show that HB is more intensive in the Islamic stock market. These results indicate also the inexistence of this behaviour in the studied Sukuk market. Research limitations/implications Sukuk as Islamic financial assets is recent. Their relative time series are not long enough to apply the long memory approach. Furthermore, this work can be extended to study other Islamic financial markets. Practical implications Herding affects risk-return characteristics of assets and has an impact on asset pricing models. Practitioners are interested in understanding herding and its timing as it might create profitable trading opportunities. Social implications This work analyses the impact of Islamic principles on the financial markets and their ability to understand some behavioural biases. Originality/value This study contributes to the literature by identifying the efficiency and the presence of HB with Hurst exponent estimation in Islamic markets.


2021 ◽  
Vol 80 (1) ◽  
pp. 216-221
Author(s):  
N.E. Dabyltaeva ◽  
◽  
D.E. Galymzhan ◽  

The securities market is considered as a part of the financial market. Today, the securities market has become the main object of research for many economists and scientists. One of the main reasons for this trend is that in the context of globalization of the world's economies, the main tool for the development of the financial sector of the state's economy is the development of the securities market. As a result of the modern process of globalization, the financial markets of States are becoming closer and more dependent on each other. The formation and organization of the securities market of the Republic of Kazakhstan began after the country gained its sovereignty. One of the main features of the formation of the domestic securities market during this period is the use of foreign experience of developed countries by the state


2004 ◽  
pp. 37-48
Author(s):  
G. Kantorovich ◽  
M. Touruntseva

This paper is dedicated to the achievements of Robert Engle and Clive Granger which allowed to overcome a serious crisis in macroeconomics and financial market analysis. The main concepts of cointegration theory and different estimation methods of cointegration equations are considered in the first part of the paper. The areas of application of cointegration theory and possible extensions are briefly described as well. The financial time series model with conditional heteroskedastisity is analyzed in the second part of the paper. The main prerequisites of the method suggested by R. Engle are formulated and its extensions and areas of application are defined.


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