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Katleho Makatjane and Tshepiso Tsoku
This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and Expected Shortfall (ES) uncertainty intervals in high frequency data. A Bayesian bootstrapping and backtest density forecasts, which a...
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Cornelis T. van der Lugt,Nadia Mans-Kemp
AbstractOrientation: Diverging views on the relevant content and target audiences of financial and non-financial reporting have caused a proliferation of reporting standards. This has led to calls for integration and convergence in approaches.Research pu...
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Roszaini Haniffa, Mohammad Hudaib and Tasawar Nawaz
This paper explores the role of social capital in contributing to the success of a new breed of organizations known as ?blank check companies? or special purpose acquisition companies (SPACs) that are set up solely to target and acquire listed companies ...
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Douglas E. Johnston
In this paper, we provide a novel Bayesian solution to forecasting extreme quantile thresholds that are dynamic in nature. This is an important problem in many fields of study including climatology, structural engineering, and finance. We utilize results...
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Katleho Makatjane and Ntebogang Moroke
During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alt...
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