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  • 1. Mollah, Sabur
    et al.
    Quoreshi, Shahiduzzaman
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Zafirov, Goran
    Equity market contagion during global financial and Eurozone crises: Evidence from a dynamic correlation analysis2016In: Journal of international financial markets, institutions, and money, ISSN 1042-4431, E-ISSN 1873-0612, Vol. 41, p. 151-167Article in journal (Refereed)
    Abstract [en]

    The devastation resulting from the recent global financial and Eurozone crises is immense. Most researchers commonly believe that the global financial crisis originated in the United States, and spread immediately to global financial hubs where it eventually became the Eurozone crisis. Several studies have been conducted on financial market contagion during both global and Eurozone crises; however, the issue of whether equity market contagion spreads from the United States to the world equity markets during these crises has not been addressed yet. Through using US dollar-denominated MSCI daily indices from fifty-five equity markets for the period 2003-2013, we have found evidence of contagion in developed and emerging markets during the global and Eurozone crises. We show that contagion spread from the United States to the world markets during both crises. Our regression results identify that the bank risk transfer between the United States and other countries is the key transmission channel for cross-country correlations. This study has an important policy implication for portfolio diversification between the United States and other countries during these crises. © 2015 Elsevier B.V.

  • 2. Månsson, Jonas
    et al.
    Quoreshi, Shahiduzzaman
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Evaluating regional cuts in the payroll tax from a firm perspective2015In: The annals of regional science, ISSN 0570-1864, E-ISSN 1432-0592, Vol. 54, no 2, p. 323-347Article in journal (Refereed)
    Abstract [en]

    With few exceptions reduced payroll taxes are analysed with regards to employment and wage effects. Our study extends the impacts to cover several possible firm outcomes using a multilevel modelling approach. Between 20-55 percent in the variation in the outcomes can be explained by municipality differences. On firm level the result follows a clear business logic. In the short run, profits and turnover increased wish later on transforms into increased wages. After seven years we find indication of impacts on investments. Thus, the support has some short-term impacts that are reduced with time and the long-term effects are questionable.

  • 3.
    Quoreshi, A.M.M. Shahiduzzaman
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Uddin, Reaz
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Jienwatcharamongkhol, Viroj
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model2019In: Journal of Risk and Financial Management, ISSN 1911-8074, Vol. 12, no 2, article id 94Article in journal (Refereed)
    Abstract [en]

    The current paper studies equity markets for the contagion of squared index returns as a proxy for stock market volatility, which has not been studied earlier. The study examines squared stock index returns of equity in 35 markets, including the US, UK, Euro Zone and BRICS (Brazil, Russia, India, China and South Africa) countries, as a proxy for the measurement of volatility. Results from the conditional heteroskedasticity long memory model show the evidence of long memory in the squared stock returns of all 35 stock indices studied. Empirical findings show the evidence of contagion during the global financial crisis (GFC) and Euro Zone crisis (EZC). The intensity of contagion varies depending on its sources. This implies that the effects of shocks are not symmetric and may have led to some structural changes. The effect of contagion is also studied by decomposing the level series into explained and unexplained behaviors.

  • 4.
    Quoreshi, Shahiduzzaman
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    A bivariate integer-valued long-memory model for high-frequency financial count data2017In: Communications in Statistics - Theory and Methods, ISSN 0361-0926, E-ISSN 1532-415X, Vol. 46, no 3, p. 1080-1089Article in journal (Refereed)
    Abstract [en]

    We propose a bivariate integer-valued fractional integrated (BINFIMA) model to account for the long-memory property and apply the model to high-frequency stock transaction data. The BINFIMA model allows for both positive and negative correlations between the counts. The unconditional and conditional first- and second-order moments are given. The model is capable of capturing the covariance between and within intra-day time series of high-frequency transaction data due to macroeconomic news and news related to a specific stock. Empirically, it is found that Ericsson B has mean recursive process while AstraZeneca has long-memory property.

  • 5.
    Quoreshi, Shahiduzzaman
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    A long-memory integer-valued time series model, INARFIMA, for financial application2014In: Quantitative Finance, ISSN 1469-7688, Vol. 14, no 12, p. 2225-2235Article in journal (Refereed)
    Abstract [en]

    A model to account for the long-memory property in a count data framework is proposed and applied to high-frequency stock transactions data. By combining features of the INARMA and ARFIMA models, an Integer-valued Auto Regressive Fractionally Integrated Moving Average (INARFIMA) model is proposed. The unconditional and conditional first- and second-order moments are given. The CLS, FGLS and GMM estimators are discussed. In its empirical application to two stock series for AstraZeneca and Ericsson B, we find that both series have a fractional integration property.

  • 6.
    Quoreshi, Shahiduzzaman
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics. Blekinge Tekniska Högskola.
    Mamode Khan, Naushad
    University of Mauritius, MUS.
    Uddin, Reaz
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    A Review of INMA Integer-valued Model Class, Application and Further Development2019In: FILOMATArticle in journal (Refereed)
    Abstract [en]

    In this paper, we review INMA time series of integer-valued model class, and discuss its further development. These models have been developed for analyzing high frequency financial count data. A vivid description of high frequency data in the context of market micro structure is given. The most distinguishing feature that makes the INMA model class different from its continuous variable MA counterpart is that multiplication of variables with real valued parameters no longer remains a viable operation when the result is to be integer-valued. In the estimation of these models, no underlying distributions are assumed. Hence, the discussion of estimations are limited to CL, FGLS and GMM. A further development of estimation procedures for these models have also been reviewed. We suggest that the models could be estimated with Quasi Maximum Likelihood and propose in addition a Generalized Method of Moment of Quasi Maximum Likelihood. We have also discussed how INMA model class can be extended with different underlying distributions for innovations.

  • 7.
    Quoreshi, Shahiduzzaman
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics. Blekinge Tekniska Högskola.
    Mollah, Sabur
    Swansea University, GBR.
    Conditional Heteroskedasticity in Long Memory Model ‘FIMACH’ for Return Volatilities in Equity Markets2018Conference paper (Refereed)
    Abstract [en]

    This paper incorporates conditional heteroscedasticity properties in the long memory model and applies the model on squared returns of BRICS (Brazil, Russia, India, China, and South Africa), UK and USA equity markets to capture the volatility of stock return. The conditional first- and second-order moments are provided. The CLS, FGLS and QML are discussed and 2SQML estimator is proposed. The simulation study suggests that the proposed 2SQML estimator performs better than the other three estimators. Both in simulation and empirical studies, we find that the proposed model FIMACH outperforms FIGARCH in terms of eliminating serial correlations.

  • 8.
    Quoreshi, Shahiduzzaman
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics. Blekinge Tekniska Högskola.
    Uddin, Reaz
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Mamode Khan, Naushad
    University of Mauritius, MUS.
    Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data—Under Conditional Heteroskedasticity Framework2019In: Journal of Risk and Financial Management, Vol. 12, no 2, article id 74Article in journal (Refereed)
    Abstract [en]

    This paper introduces Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data of unknown underlying distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that the QML estimator performs as well as CLS and FGLS in terms of eliminating serial correlations, but the estimator can be sensitive to start value. Hence, two-stage QML has been suggested. In empirical estimation on two stock transaction data for Ericsson and AstraZeneca, the 2SQML turns out relatively more efficient than CLS and FGLS. The empirical results suggest that both of the series have long memory properties that imply that the impact of macroeconomic news or rumors in one point of time has a persistence impact on future transactions.

  • 9.
    Stone, Trudy-Ann
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Quoreshi, Shahiduzzaman
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Do Global Value Chains Make Firms More Vulnerable To Trade Shocks?: Evidence from Manufacturing Firms in Sweden2019In: Article in journal (Refereed)
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