Showing 1 - 10 of 31
We present a hybrid model for diagnosis and critical time forecasting of real estate bubbles. The model combines two …, 35, and 90 national-level macroeconomic time series and a dynamic forecasting methodology. Empirical results suggests …
Persistent link: https://www.econbiz.de/10010411858
This paper conducts an extensive forecasting study on 13,118 time series measuring Swiss goods exports, grouped …
Persistent link: https://www.econbiz.de/10012058388
forecasting experiment is based on a novel big macroeconomic dataset (FRED-QD) comprising over 200 quarterly indicators for almost …
Persistent link: https://www.econbiz.de/10012117679
We present a careful analysis of possible issues of the application of the self-excited Hawkes process to high-frequency financial data and carefully analyze a set of effects that lead to significant biases in the estimation of the "criticality index'' n that quantifies the degree of endogeneity...
Persistent link: https://www.econbiz.de/10010257507
We consider the detection of multiple outliers in Exponential and Pareto samples -- as well as general samples that have approximately Exponential or Pareto tails, thanks to Extreme Value Theory. It is shown that a simple "robust'' modification of common test statistics makes inward sequential...
Persistent link: https://www.econbiz.de/10011411972
I show that the detrending of financial variables with the Hodrick and Prescott (1981, 1997) (HP) and band-pass filters leads to spurious cycles. I find that distortions become especially severe when considering medium-term cycles, i.e., cycles that exceed the duration of regular business...
Persistent link: https://www.econbiz.de/10012923312
Inspired by the question of identifying the start time τ of financial bubbles, we address the calibration of time series in which the inception of the latest regime of interest is unknown. By taking into account the tendency of a given model to overfit data, we introduce the Lagrange...
Persistent link: https://www.econbiz.de/10011877499
Persistent link: https://www.econbiz.de/10011532227
We propose a Bayesian optimal filtering setup for improving out-of-sample forecasting performance when using volatile … high frequency data with long lag structure for forecasting low-frequency data. We test this setup by using real-time Swiss … indicator series for forecasting. …
Persistent link: https://www.econbiz.de/10011490594
regression used in Bai and Ng (2008), called the elastic net (Zou and Hastie, 2005). We illustrate our approach by forecasting …
Persistent link: https://www.econbiz.de/10010498420