Stock market volatility

Xem 1-20 trên 114 kết quả Stock market volatility
  • This paper addresses the issue of impacts of corruption on stock market volatility. By applying panel data analysis on a set of 16 countries from 2010 to 2016, sufficient evidence for a negative relationship between corruption and stock market volatility is provided, while controlling for several macroeconomic and financial variables.

    pdf7p chauchaungayxua2 19-01-2020 12 0   Download

  • In this paper, the effects of the US stock market returns, exchange rate changes and volatilities on stock market volatilities in 10 emerging market economies between 2000- 2013 (also two sub-periods covering the time between 2000-2007, and between 2008-2013) have been analysed with separate 30 VAR models. According to the analysis, the fact that the US stock market returns cause stock market volatilities is revealed to be the most prominent result in the whole period.

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  • Known as one of the key risk measures, volatility has attracted the interest of many researchers. These aim, in particular, to estimate and explain its evolution over time. Several results reveal that volatility is characterized, among other things, by its asymmetric variations (Chordia and Goyal 2006, Mele 2007, Shamila et al 2009, etc.). In this article, we seek to analyze and predict the volatility of the BRVM through these two indices. The data used are daily and start from the period from 04 January 2010 to 25 May 2016.

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  • This study analyzes volatilities in the relations between stock market, bond market, and foreign exchange market in Vietnam from April 2014 through December 2015. Particularly, we address the questions of whether there exist sudden changes in correlations between the markets to respond to volatility shocks and whether these changes are temporary or extended.

    pdf23p danhnguyentuongvi27 18-12-2018 20 1   Download

  • The  aim  of  the  research  paper  is  to  examine  the  relationship  between  investor sentiment and stock market volatility in the context of Indian stock market. There is much research into the relationship between the two but very rarely taking India as a case, being the tenth largest economy of the world. Moreover, there has been scant research done on impact of political and economic events on investor sentiment and the stock markets.

    pdf124p nguyenyenyn117 17-06-2019 35 1   Download

  • This paper explain the stock market volatility at the individual script level and at the aggregate stock price level. The empirical analysis has been done by using Generalised Autoregressive Conditional Heteroscedasticity (GARCH) model.

    pdf5p murielnguyen 29-06-2020 17 0   Download

  • While different streams of literature exist investigating the relationship and the conditional correlation between oil import prices, oil returns volatility and stock market returns volatility. The period of the study runs from July 1997 until July 2017 with a monthly data. The objectives of the present paper are the following to investigate the order of the mean equation, the order (p,q) of the conditional variance and the order (r,s) of the Diag-BEKK model.

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  • The objective of the thesis is to analyze the impact of micro-factors belonging to listed companies on share price volatility and thereby propose recommendations to limit the level of copper price volatility. of companies listed on Vietnam's stock market.

    pdf0p dungmaithuy 18-09-2019 17 2   Download

  • Using the GARCH-in-Mean model, the present paper examines information spillover effects from some large foreign stock markets on the VN-Index. The empirical results indicate that the return rates of VN-Index are influenced by disclosures from some large stock markets in the world, especially from the US stock market. However, the volatility of VN-Index return rate and its risks are not affected by the information spillover effects from such markets.

    pdf11p danhnguyentuongvi 18-12-2018 25 0   Download

  • In this paper, we evaluate the economic value that arise from incorporating conditional volatility when forecasting the covariance matrix of returns for both short and long horizons in the Vietnamese stock market, using the volatility timing framework of Fleming et al. (2001). We report three main findings. First, investors are willing to pay to switch from the static to a dynamic volatility timing strategy. Second, there is negligible difference in forecast performance among short and memory volatility models.

    pdf24p vixuka2711 12-06-2019 4 0   Download

  • This study aims to measure the volatility in asset prices of listed companies in the Vietnam stock market. The authors use models such as AR, MA and ARIMA combined with ARCH and GARCH to estimate value at risk (VaR) and the results generate relatively accurate estimates.

    pdf17p viartemis2711 22-10-2019 18 0   Download

  • This paper investigates high frequency time-series features of stock returns and volatility on China's stock markets. The empirically observed probability distributions of log-returns are almost symmetric, highly leptokurtic, and characterized by a non-Gaussian profile for small index changes. Thus, the China's stock markets cannot be described by a random walk. We suggest that the correlation dynamics and stochastic changes of stock prices of China's stock markets are investigated by the Lorentz stable distribution.

    pdf34p chauchaungayxua2 19-01-2020 8 0   Download

  • This study investigated the relationship between exchange rate and inflation volatility and stock prices volatility in Nigeria, using time series quarterly data from 1986Q1-2012Q4. The volatilities of exchange rate and inflation in this study were calculated using standard GARCH(1,1) models. The relationship between exchange rate, inflation volatility and stock prices volatility was examined using GARCH(1,1)-S models of an extended GARCH-X models.

    pdf14p trinhthamhodang2 21-01-2020 29 0   Download

  • This work examines whether the expiration-day effect of derivatives’ trading exists in the Taiwanese stock market. The empirical results indicate that the futures’ volatility does not increase steadily as the expiration-day approaches, but only in the three days before this date. Further, the stock volatility decreases after the opening of the options market. Next, while the trading volumes increase after the opening of options trading, the variations in them decrease significantly.

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  • In China, domestic firms can issue A- and B-shares. Before Feb 2001, Domestic investors can only invest A-shares while foreign investors can only trade B-shares. This paper makes use of this special feature in testing information and trading noise hypotheses. We find that A-share prices are more volatile than B-share prices even though they are issued by the same companies and are traded in the same stock market.

    pdf12p trinhthamhodang2 21-01-2020 11 0   Download

  • This paper compares the out-of-sample forecasting performance of the GARCH, EGARCH, and GJR-GARCH models across the Normal distribution, Student-t distribution, and Generalized Error Distribution (GED) in the regional stock market of the West African Economic and Monetary Union called the BRVM. The study uses weekly returns ranging from 4 January 1999 to 10 March 2005 for in-sample estimation of conditional variance models, and the period from 11 March 2005 to 29 July 2005 for out-of-sample forecasting.

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  • This study investigates the presence of the day-of-the-week effect on the return and return volatility of the BIST (Borsa Istanbul) stock indexes, those of the BIST-100, the BIST-Financials, the BIST-Services, the BIST-Industrials, and the BIST-Technology for the period January 7, 2008 to December 28, 2012 in Turkey. Empirical findings obtained from EGARCH (1,1) model show that the returns on Mondays are positive and the highest during the week for all indexes, and only the BIST-Financials index returns do not show the significant Monday effect.

    pdf25p 035522894 13-04-2020 30 0   Download

  • This study’s main objective is to provide a framework to model conditional volatility regarding the changes in the investor sentiment by measuring the effect of noise trader demand shocks on the volatility of stock market indexes of the various countries. GARCH, TARCH, and EGARCH models are used to test whether earning shocks have more influence on the conditional volatility in high sentiment periods weakening the mean-variance relation.

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  • The results also report the absence of leverage effect in Nigeria. The policy considerations are the government, policymakers, and financial regulators, supervisors, and investors must embrace macroeconomic and non-macroeconomic factors of political instability, insecurity among others into policy formulation and implementation along with portfolio.

    pdf14p cleopatrahuynh 01-06-2020 7 0   Download

  • Result shows that volatility of Malaysian stock market index increases in the post-announcement than in the pre-announcement of the GST which indicates that educative programs employed by the government before the GST announcement did not yield meaningful result. The volatility of the Malaysian stock market index is persistent during the GST announcement and highly persistent after the implementation. Noticeable increase in post-announcement is in support with the expectation of the market about GST policy in Malaysia.

    pdf17p nguathienthan5 03-06-2020 25 0   Download


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