Exchange rate volatility is said to exemplify the economic health of a country. Exchange rate break points (known as structural breaks) have a momentous impact on the macroeconomy of a country. Nonetheless, this country study makes use of both unsupervised and supervised machine learning...

In this paper, we challenge the traditional assumption of a linear relationship between exchange rate volatility and economic growth in South Africa. By using data collected from 1970 to 2016 applied to a smooth transition regression (STR) model, we are able to prove that the exchange...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...

In July 2011, Uganda reformed its monetary policy framework citing “challenges of macroeconomic management and the rapid growth and diversification of the financial system” MPC July (2011). This paper reviews the effect of foreign exchange interventions on the inflation target policy in...

The aim of this work is to establish an interesting connection between the behavior of economic agents by means of complex systems approach and the long memory features that generally occur in a wide set of time series found in economic/financial problems. It is shown that heterogeneity between...

We describe the package MSGARCH, which implements Markov-switching GARCH models in R with efficient C++ object-oriented programming. Markov-switching GARCH models have become popular methods to account for regime changes in the conditional variance dynamics of time series. The package MSGARCH...

The fractal theory was first proposed by Mandelbrot in the 1970s and later it was carried by Kantelhardt in mid-2000 and introduced Multi-fractal de-trended fluctuation analysis (MFDFA). The MFDFA uses different time series data to find statistical characteristics efficiently. This study uses...

This paper uses wavelet theory to propose a frequency domain nonparametric and tuning parameter free family of unit root tests indexed by the fractional parameter d. The proposed test exploits the wavelet power spectrum of the observed series and its fractional partial sum to construct a test of...