scholarly journals Risks of Traders on the World Stock Market on the Example of Ukraine

2019 ◽  
Vol 67 ◽  
pp. 06001 ◽  
Author(s):  
George Abuselidze ◽  
Olga Mohylevska ◽  
Nina Merezhko ◽  
Nadiia Reznik ◽  
Anna Slobodianyk

The article reveals the essence and features of the development of the stock market in Ukraine. It was established that the vigorous activity of countries in the world financial markets means that they also face a risk of global financial turmoil (the so-called “domino effect”). It is determined that the impact of global financial instability on the country depends on the openness of its economy that will lead to significant external “shocks”. The possibility of providing effective influence on domestic stock market activity with taking into account the changing world situation, development of perfect trading strategies for each participant is substantiated. The conducted analysis of the world market conditions of stock markets in recent years has made it possible to assess the real risks for new participants in the stock market and become the basis for the development of an appropriate effective trading strategy. The practical significance of the results is that they allow for a measurable approach to assessing the existing risk when choosing one or another trading strategy to move to the world stock market.

2021 ◽  
Vol 23 (07) ◽  
pp. 1085-1090
Author(s):  
Harsh Vikram Arora ◽  

The COVID19 pandemic which came unprecedentedly has brought forward a lot of confusion and unrest in the world. There are a lot of changes with regard to the global landscape in multiple ways. SARS-CoV-2 is the primary virus, which is the root contributor to the COVID19 outbreak, which started in Wuhan, Hubei Province, China, in December 2019. It did not take much time to spread across the world. This pandemic has resulted in a universal health crisis, along with a major decline in the global economy. One of the major reasons for the fluctuation in the stock price is supply and demand. When the number of people who want to sell their stocks outnumbers those who want to purchase it, the stock price drops. Due to the result in the gap, the financial markets will suffer in the short duration, but in the long run, markets will correct themselves and would increase again. There is a sharp decline in the stock price because of the pandemic. The current scenario has resulted in a world health crisis which has contributed to global and economic crises. Almost all financial markets across the world have been affected by the recent health crisis, with stock and bond values falling gradually and severely. In the United States, the Dow Jones and S& P 500 indices have fallen by more than 20%. The Shanghai Stock Exchange and the New York Dow Jones Stock Exchange both indicate that they had a significant impact on China’s and the United States’ financial markets. The primary purpose of this paper is to determine the impact of COVID19 on stock markets. The rapid spread of the virus has left a major impact on the global financial markets. There is a link between the pandemic and the stock market, and this has been studied in this paper. Along with it, an attempt is taken to compare stock price returns in pre-COVID19 and post-COVID19 scenarios. The stock market in India faced uncertainty during the pandemic, according to the findings.


2016 ◽  
Vol 4 (5) ◽  
pp. 189-197
Author(s):  
Rabia Najaf

In this paper, we analyzed the impact of financial crisis on different countries by the using of E-GARCH model .our main finding is that in the financial crisis has impact on the stock exchange of different countries. We proved that due to financial crisis most of countries stock exchange have been affected badly. In the world,the American stock exchange was established in 1792. Two dozen brokers were started the stock trading.Now a day, 2,429 companies are listed under this stock exchange. The prime objective of the scholars is to find out the impact of financial crisis on the different stock market. Scholars have proved that financial crisis have always impacted on the financial markets.


2019 ◽  
Vol 6 (3) ◽  
pp. 54-60
Author(s):  
Mikhail Jurievich Rudiuk ◽  
Anastasiia Vladislavovna Gerasimova ◽  
Ekaterina Mikhailovna Pomozova

The authors' task was to analyze the development of quality management systems at the current stage in Russia, as well as at the previous stage in the USSR. As a result, we came to the conclusion that the factors stimulating the implementation of ISO 9000 standards are the need to promote products on the world market, as well as the possibility of receiving orders from the state. In the future, strict adherence to these standards will allow enterprises to significantly reduce the likelihood of lawsuits from consumers, which is important in the context of the development of the legislative framework and increased control over the business. The practical significance of the article is the possibility of familiarizing management and personnel with quality services, whose task is to prepare for certification for compliance with ISO 9000 standards in how this process took place in other companies. The originality of this work is to summarize the experience of implementation of ISO 9000 standards at enterprises and to analyze the factors contributing to or hindering this process.


2020 ◽  
Vol 1 (1) ◽  
pp. 13-27
Author(s):  
Pedro Pablo Chambi Condori

What happens in the international financial markets in terms of volatility, have an impact on the results of the local stock market financial markets, as a result of the spread and transmission of larger stock market volatility to smaller markets such as the Peruvian, assertion that goes in accordance with the results obtained in the study in reference. The statistical evaluation of econometric models, suggest that the model obtained can be used for forecasting volatility expected in the very short term, very important estimates for agents involved, because these models can contribute to properly align the attitude to be adopted in certain circumstances of high volatility, for example in the input, output, refuge or permanence in the markets and also in the selection of best steps and in the structuring of the portfolio of investment with equity and additionally you can view through the correlation on which markets is can or not act and consequently the best results of profitability in the equity markets. This work comprises four well-defined sections; a brief history of the financial volatility of the last 15 years, a tight summary of the background and a dense summary of the methodology used in the process of the study, exposure of the results obtained and the declaration of the main conclusions which led us mention research, which allows writing, evidence of transmission and spread of the larger stock markets toward the Peruvian stock market volatility, as in the case of the American market to the market Peruvian stock market with the coefficient of dynamic correlation of 0.32, followed by the Spanish market and the market of China. Additionally, the coefficient of interrelation found by means of the model dcc mgarch is a very important indicator in the structure of portfolios of investment with instruments that they quote on the financial global markets.


2020 ◽  
Vol 214 ◽  
pp. 02023
Author(s):  
Shen Mingcai ◽  
Liu Xin ◽  
Huang Xi ◽  
Cao Zhaohuan ◽  
Su Ganya

Stock market event is an important source of information for investment decision, and it is of practical significance to quantify the event and predict the fluctuation range of future return under such event. Most researchers study stock market events horizontally, that is, to study the impact of a current event on the stock price of a certain sector or industry, while the paper attempts to study vertically the impact of a certain event of a single listed company on the return. Based on the internal relations between public announcement and stock yield of listed companies, the paper deduced the daily yield prediction model of event window by VAR(p) to exclude subjective “estimation” in the past and verifies the feasibility of the model.


2021 ◽  
Vol 20 (3) ◽  
pp. 513-527
Author(s):  
Vinaykumar Elegeti

Motivation: The finance and academic industries are highly discussed in the stock market trading domain. The increase in economic globalization shows the connection among stock markets in different countries, which produces the effect of risk conduction in the market. Forecasting the direction of every day’s stock market return is important and challenging. The growing complexity and dynamic features in stock markets are difficult in the financial industry. The inflexible trading method developed by financial practitioners utilized a larger amount of stock market features and is failed to achieve a satisfactory result in every condition of the market. Further, the existing data mining approaches are incomplete and inefficient. Aim: To overcome the issues in stock and problem of existing methods, proposed option trading strategies for rebalancing Exchange Traded Fund (ETF) in the stock market. Rebalancing-ETF measure the volatility of the stock to track the error of model and rebalance the threshold quality to improve the trade. The proposed method increases the order of threshold quantity to rebalance the trade. Results: The result showed that the minimum orders increases in rebalancing trade, which reduces the impact of price formations in market. The tracking error occurs when the larger quantity of threshold value reduces the quantity. Then, the markets are changed significantly when the Net Asset Values (NAV) of rebalancing ETF increases.


2022 ◽  
pp. 250-262
Author(s):  
Aslı Aybars ◽  
Mehtap Öner

The novel coronavirus, COVID-19, which emerged at the end of 2019 and spread to the world at a very fast pace, resulted in a pandemic affecting the finance industry besides many other industries though at varying extents. Financial markets, which can be regarded as cornerstones of each and every country's economic success, have been adversely influenced due to the fear and uncertainty arising with the emergence of the novel coronavirus at different degrees. This chapter provides a summary of a literature review based on the impact of this pandemic on stock returns and volatility in the stock exchanges of different countries and regions of the world. What has been captured as a result of this literature review is that almost all of the financial markets around the world have been influenced due to the virus. Further, industry-wise empirical studies demonstrate that not all industries are affected at the same level or even in the same direction.


2020 ◽  
pp. 1-30
Author(s):  
LINGLING QIAN ◽  
YUEXIANG JIANG ◽  
HUAIGANG LONG ◽  
RUOYI SONG

We are the first to explore the effect of economic policy uncertainty (EPU) and the COVID-19 pandemic on the correlation between the cryptocurrency index CRIX and the world stock market portfolio, as well as the hedging properties of CRIX. To this end, we mainly apply the dynamic conditional correlation model with mixed data sampling regressions, a threshold vector autoregressive model and the generalized impulse response function. We demonstrate that the correlation is influenced by the uncertainty stance of the economy and behaves differently in low-, medium- and high-uncertainty periods. Most of the abnormal market relations exist in high levels of EPU or during the COVID-19 period, and the impact of global EPU is greater than that of EPU originating in the United States, Europe, Russia and China. Moreover, the CRIX can serve as a hedge asset against the world stock market. The high (low) level of EPU has a significantly positive (negative) effect on the optimal hedge ratio of CRIX, which increases significantly during the COVID-19 period. Our findings have implications for risk management, portfolio allocations and hedging strategies.


Author(s):  
Amalendu Bhunia ◽  
Devrim Yaman

This paper examines the relationship between asset volatility and leverage for the three largest economies (based on purchasing power parity) in the world; US, China, and India. Collectively, these economies represent Int$56,269 billion of economic power, making it important to understand the relationship among these economies that provide valuable investment opportunities for investors. We focus on a volatile period in economic history starting in 1997 when the Asian financial crisis began. Using autoregressive models, we find that Chinese stock markets have the highest volatility among the three stock markets while the US stock market has the highest average returns. The Chinese market is less efficient than the US and Indian stock markets since the impact of new information takes longer to be reflected in stock prices. Our results show that the unconditional correlation among these stock markets is significant and positive although the correlation values are low in magnitude. We also find that past market volatility is a good indicator of future market volatility in our sample. The results show that positive stock market returns result in lower volatility compared to negative stock market returns. These results demonstrate that the largest economies of the world are highly integrated and investors should consider volatility and leverage besides returns when investing in these countries.


Author(s):  
Mustapha Chaffai ◽  
Imed Medhioub

Purpose This paper aims to examine the presence of herd behaviour in the Islamic Gulf Cooperation Council (GCC) stock markets following the methodology given by Chiang and Zheng (2010). Generalized auto regressive conditional heteroskedasticity (GARCH)-type models and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative during upward market periods only. These results are similar to those reported in some emerging markets such as China, Japan and Hong Kong, where stock returns perform more similarly during down market periods and differently during rising markets. Design/methodology/approach The authors present a brief literature on herd behaviour. Second, the authors provide some specificity of the GCC Islamic stock market, followed by the presentation of the methodology and the data, results and their interpretation. Findings The authors take into account the difference existing in market conditions and find evidence of herding behaviour during rising markets only for GCC markets. This result was confirmed after using the quantile regression method, as evidence of herding was observed only in highly extreme periods. Stock returns perform more similarly when market is down in Islamic GCC stock market. Research limitations/implications The research limitation consists in the fact that this work can be extended to compare the GCC stock markets with other markets in Asia such as Malaysia and Indonesia. Practical implications The principal implication consists in the fact that herding behaviour is limited in the GCC markets and Islamic finance can have an important contribution to moderate the behaviour in the financial markets. Social implications The work focusses on the role of ethics in the financial markets and their ability to reduce the impact of behavioural biases. Originality/value The paper studies the behaviour of investors in the Islamic financial markets and gives an idea about the importance of the behaviour in this particular market regarding its characteristics.


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