In this article, we analyze the US short term real interest rate series for the last five decades in the framework of a M-SETAR model (Momentum - Self Exciting Threshold Auto-Regressive). With the aim of disentangling the non-linearity from the non-stationarity cases, we use threshold...

Common statistical measures of bond risk premia are volatile and countercyclical. This paper uses survey data on interest rate forecasts to construct subjective bond risk premia. Subjective premia are less volatile and not very cyclical; instead they are high, only around the early 1980s. The...

Even with the presence of numerous institutional players in the market, there exist a noticeable number of cash group shares which are hardly transacted. To sustain the growth of investors in the market, there is need for assuring easy and quick liquidity to the securities. To serve the same...

This paper studies the causes of movements in inflation and output in Switzerland over 160 years between 1855 and 2015. Aggregate supply and demand shocks are identified in a structural VAR and their evolution and effect on prices and output is discussed. Shocks to the Swiss economy have...

This paper describes how the frequency domain analysis provides an alternative approach to time domain analysis for a given time series. Spectral and periodogram analysis for a given time series are performed to detect trends and seasonalities in the data. A cross-spectral analysis is used to...

The foreign exchange reserves of the Central African Economic and Monetary Community (CEMAC) countries have decreased since the fall of world oil price that began in July 2014. In fact, five of the six of the CEMAC countries are oil producers. Based on interrupted time series modeling, the...

Deep learning is playing an increasingly important role in time series analysis. We focused on time series forecasting using attention free mechanism, a more efficient framework, and proposed a new architecture for time series prediction for which linear models seem to be unable to capture the...