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1by Brännäs, Kurt Shahiduzzaman Quoreshi, A. M. M Published in Applied financial economics (01.09.2010)“...The Integer-valued Moving Average Model (INMA) is advanced to model the number of transactions in intra-day data of stocks. The conditional mean and variance...”
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2by Mollah, Sabur Quoreshi, A.M.M. Shahiduzzaman Zafirov, Goran Published in Journal of international financial markets, institutions & money (01.03.2016)“...•Contagion in developed and emerging markets.•Global and Eurozone crises.•The United States as the source of contagion. The devastation resulting from the...”
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3by Quoreshi, A.M.M. Shahiduzzaman Published in Communications in statistics. Theory and methods (01.02.2017)“...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...”
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4by Månsson, Jonas Quoreshi, A M. M. Shahiduzzaman Published in The Annals of regional science (01.03.2015)“...With few exceptions, reduced payroll taxes are analysed with regard to employment and wage effects. Our study extends the impacts to cover several possible...”
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5by Quoreshi, A.M.M. Shahiduzzaman Published in Economics letters (2008)“...A vector integer-valued moving average (VINMA) model is introduced. The CLS and FGLS estimators are discussed. Empirically, it is found that the spillover...”
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6by Quoreshi, A. M. M. Shahiduzzaman Published in Communications in statistics. Theory and methods (01.06.2006)“...A bivariate integer-valued moving average (BINMA) model is proposed. The BINMA model allows for both positive and nagative correlation between the counts. This...”
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7“...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...”
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8by Quoreshi, A.M.M. Shahiduzzaman Uddin, Reaz Jienwatcharamongkhol, Viroj Published in Journal of Risk and Financial Management (2019)“...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...”