scholarly journals Market volatility and illiquidity during the COVID-19 outbreak: Evidence from the Saudi stock exchange through the Wavelet coherence approaches

2021 ◽  
pp. 101521
Author(s):  
Kais Tissaoui ◽  
Besma Hkiri ◽  
Waleed Alghassab ◽  
Mariem Talbi ◽  
Khaled Issa Alfreahat
Keyword(s):  
Stock Exchange ◽  
Market Volatility ◽  
Wavelet Coherence

scholarly journals Information-Theoretic Measures and Modeling Stock Market Volatility: A Comparative Approach

Risks ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 89
Author(s):  
Muhammad Sheraz ◽  
Imran Nasir
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Approximate Entropy ◽  
Market Volatility ◽  
Comparative Approach ◽  
Stock Market Volatility ◽  
Information Theoretic ◽  
Information Theoretic Measures ◽  
Garch Modeling

The volatility analysis of stock returns data is paramount in financial studies. We investigate the dynamics of volatility and randomness of the Pakistan Stock Exchange (PSX-100) and obtain insights into the behavior of investors during and before the coronavirus disease (COVID-19 pandemic). The paper aims to present the volatility estimations and quantification of the randomness of PSX-100. The methodology includes two approaches: (i) the implementation of EGARCH, GJR-GARCH, and TGARCH models to estimate the volatilities; and (ii) analysis of randomness in volatilities series, return series, and PSX-100 closing prices for pre-pandemic and pandemic period by using Shannon’s, Tsallis, approximate and sample entropies. Volatility modeling suggests the existence of the leverage effect in both the underlying periods of study. The results obtained using GARCH modeling reveal that the stock market volatility has increased during the pandemic period. However, information-theoretic results based on Shannon and Tsallis entropies do not suggest notable variation in the estimated volatilities series and closing prices. We have examined regularity and randomness based on the approximate entropy and sample entropy. We have noticed both entropies are extremely sensitive to choices of the parameters.

Creating Value in Small-cap Firms by Mitigating Risks of Market Volatility

2017 ◽  
Vol 21 (4) ◽  
pp. 350-355 ◽  
Author(s):  
Sayantan Khanra ◽  
Sanjay Dhir
Keyword(s):  
Stock Exchange ◽  
Emerging Market ◽  
Market Volatility ◽  
Emerging Market Economies ◽  
Financial Returns ◽  
Market Economies ◽  
Volatility Index

Extant research has explored numerous ideal approaches to predict and anticipate the unpredictability in stocks to mitigate business risks. This article attempts to offer an important insight on creating values in terms of financial returns dodging the risks associated with the market volatility in emerging market economies by exploring the context of National Stock Exchange (NSE), India. The study establishes that Small-cap companies, which are included in NSE Small 100 index, are less inclined to be impacted by the market volatility index (NVIX) compared to the Large-cap companies and Mid-cap companies that are under respective Broad Market Indices. Furthermore, this article examines 64 Small-cap companies, belonging to nine different sectors, to investigate the sector-wise impact of market volatility on Small-cap businesses in India.

scholarly journals Margin requirements and Stock Market Volatility in Bangladesh

2012 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
A. F. M. Mainul Ahsan ◽  
Mohammad Osman Gani ◽  
Md. Bokhtiar Hasan
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Margin Requirements ◽  
Margin Requirement ◽  
Daily Stock Returns ◽  
The Impact

Officially margin requirements in bourses in Bangladesh were initiated on April 28, 1999, to limit the amount of credit available for the purpose of buying stocks. The goal of this paper is to measure the impact of changing margin requirement on stock returns' volatility in Dhaka Stock Exchange (DSE). The impact of margin requirement on stock price volatility has been extensively studied with mixed and ambiguous results. Using daily stock returns, we found mixed evidence that SEC's margin requirements have significant impact on market volatility in DSE.

scholarly journals Financial contagion: The impact of the volatility of global stock exchanges on the Lima-Peru Stock Exchange

2020 ◽  
Vol 1 (1) ◽  
pp. 13-27
Author(s):  
Pedro Pablo Chambi Condori
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Exchange ◽  
Market Volatility ◽  
Financial Contagion ◽  
Stock Market Volatility ◽  
Important Indicator ◽  
Dynamic Correlation ◽  
High Volatility ◽  
The Impact

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.

scholarly journals Co-movement of stock exchange indices and exchange rates in Ghana: A wavelet coherence analysis

2018 ◽  
Vol 5 (1) ◽  
pp. 1481559
Author(s):  
Peterson Owusu Junior ◽  
Baidoo Kwaku Boafo ◽  
Bright Kwesi Awuye ◽  
Kwame Bonsu ◽  
Henry Obeng-Tawiah ◽  
...  
Keyword(s):  
Exchange Rates ◽  
Stock Exchange ◽  
Wavelet Coherence ◽  
Coherence Analysis ◽  
Wavelet Coherence Analysis

Day Of The Week And Its Effect On Stock Market Volatility: Evidence From An Emerging Market

2013 ◽  
Vol 29 (6) ◽  
pp. 1727 ◽  
Author(s):  
Omar Farooq ◽  
Mohammed Bouaddi ◽  
Neveen Ahmed
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
International Markets ◽  
Conditional Variance ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Foreign Investors ◽  
High Volatility ◽  
Day Of The Week

This paper investigates the day of the week effect in the volatility of the Saudi Stock Exchange during the period between January 7, 2007 and April 1, 2013. Using a conditional variance framework, we find that the day of the week effect is present in the volatility. Our results show that the lowest volatility occurs on Saturdays and Sundays. We argue that due to the closure of international markets on Saturdays and Sundays, there is not enough activity in the Saudi Stock Exchange. As a result, the volatility is the lowest on these days. Our results also show that the highest volatility occurs on Wednesdays. We argue Wednesday, being the last trading day of the week, corresponds with the start of four non-trading days (Thursday through Sunday) for foreign investors. Fearing that they will be stuck up with stocks in case some unfavorable information enters the market, foreign investors tend to exit the market on Wednesdays. As a result of excessive trading, there is high volatility on Wednesdays.

Price Limit and Volatility in Taiwan Stock Exchange: Some Additional Evidence from the Extreme Value Approach

2007 ◽  
Vol 10 (01) ◽  
pp. 51-61 ◽  
Author(s):  
Aktham I. Maghyereh ◽  
Haitham A. Al Zoubi ◽  
Haitham Nobanee
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Extreme Value ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Price Limits ◽  
Stock Volatility ◽  
Price Limit ◽  
Taiwan Stock Exchange

We reexamine the effects of price limits on stock volatility of Taiwan Stock Exchange using a new methodology based on the Extreme-Value technique. Consistent with the advocates of price limits, we find that stock market volatility is sharply moderated under more restrictive price limits.

scholarly journals On the co-movement of crude, gold prices and stock index in the Indian market

2020 ◽  
Vol 07 (03) ◽  
pp. 2050036
Author(s):  
Abhibasu Sen ◽  
Karabi Dutta Choudhury
Keyword(s):  
Wavelet Analysis ◽  
Stock Exchange ◽  
Stock Index ◽  
Wavelet Coherence ◽  
Discrete Wavelet ◽  
Indian Market ◽  
Stock Market Index ◽  
Time Frequency ◽  
Market Index ◽  
Indian Stock Market

The nonlinear relationship in the joint time-frequency domain has been studied for the Indian National Stock Exchange (NSE) with the international Gold price and WTI Crude Price being converted from Dollar to Indian National Rupee based on that week’s closing exchange rate. Though a good correlation was obtained during some period, but as a whole no such cointegration relation can be found out. Using the Discrete Wavelet Analysis, the data was decomposed and the presence of Granger Causal relations was tested. Unfortunately, no significant relationships are being found. We then studied the Wavelet Coherence of the two pairs, namely NSE-Nifty & Gold and NSE-Nifty & Crude. For different frequencies, the coherence between the pairs have been studied. At lower frequencies, some relatively good coherence have been found. In this paper, we report for the first time the co-movements between Crude Oil, Gold and Indian Stock Market Index using Wavelet Analysis (both Discrete and Continuous), a technique which is most sophisticated and recent in market analysis. Thus, for long-term traders they can include gold and/or crude in their portfolio along with NSE-Nifty index in order to decrease the risk (volatility) of the portfolio for the Indian Market. But for short-term traders, it will not be effective, not to include all the three in their portfolio.

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