Stylized facts on financial time series data are the volatility of returns that follow non-normal conditions such as leverage effects and heavier tails leading returns to have heavier magnitudes of extreme losses. Value-at-risk is a standard method of forecasting possible future losses in...

Financial institutions hold risks in their investments that can potentially affect their ability to serve clients. For banks to weigh their risks, Value-at-Risk (VaR) methodology is used, which involves studying the distribution of losses and formulating a statistic from this distribution. From...

Philippine water districts (WDs) provide water to over 17 million Filipinos. Each WD is an independent entity, and water tariffs vary widely across the 493 WDs due to perceived area-specific conditions. A statistical model was applied to available data to determine how these conditions affect...