This paper investigates and analyzes the long-run equilibrium relationship between the Thai stock Exchange Index (SETI) and selected macroeconomic variables using monthly time series data that cover a 20-year period from January 1990 to December 2009. The following macroeconomic variables are...

This paper investigates and analyzes the long-run equilibrium relationship between the Thai stock Exchange Index (SETI) and selected macroeconomic variables using monthly time series data that cover a 20-year period from January 1990 to December 2009. The following macroeconomic variables are...

This paper shows that indicators and tests of government solvency should not be used alternatively. We present a simple and intuitive procedure to integrate simultaneously the results from the two approaches to fiscal sustainability. An application to U.S. post-World War II data demonstrates the...

This paper analyzes the 5-, 14- and 21-day cumulative positivity rate vis-à-vis the COVID-19 deceased rate of each time period for the first four months of COVID-19 from April 2020 to September 2020 in New Delhi, India with the intention of getting insight into the relationship between the two...

This research paper investigates the stock market movements and linkages between the Asian emerging markets (China, India, Indonesia, Korea, Malaysia, Philippines, Taiwan and Thailand) and two developed markets (i.e. USA and Japan). This study employs the statistical application of descriptive...

The forecasting uncertainty around point macroeconomic forecasts is usually measured by the historical performance of the forecasting model, using measures such as root mean squared forecasting errors (RMSE). This measure, however, has the major drawback that it is constant over time and hence...

In this paper, we construct a single composite financial stress indicator (FSI) which aims to predict developments in the real economy in the euro area. Our FSI was shown to perform better than the Euro STOXX 50 volatility index for the recent banking crisis and the euro-area sovereign debt...

A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias and precision: the complete cases are often disarmingly few, but replacing the missing observations...

We perform various experiments correlating past changes of social indicators about a country with future stock market returns for that country. The 169 social indicators we use, which go back as far as the year 1900, are available from the Varieties of Democracy Project. We use two sets of data...

When constructing unconditional point forecasts, both direct- and iterated-multistep (DMS and IMS) approaches are common. However, in the context of producing conditional forecasts, IMS approaches based on vector autoregressions (VAR) are far more common than simpler DMS models. This is despite...