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This paper contributes to the debate of whether central banks can \lean against the wind" of emerging stock or house price bubbles. Against this background, the paper evaluates if new advances in real-time bubble detection, as brought forward by Phillips et al. (2011), can timely detect bubble...
Persistent link: https://www.econbiz.de/10011300629
This paper investigates the role of volatility risk on stock return predictability specified on two global financial crises: the dot-com bubble and recent financial crisis. Using a broad sample of stock options traded at the American Stock Exchange and the Chicago Board Options Exchange (CBOE)...
Persistent link: https://www.econbiz.de/10012999962
Persistent link: https://www.econbiz.de/10009782578
In the recent years several commentators hinted at an increase of the correlation between equity and commodity prices, and blamed investment in commodity-related products for this. First, this paper investigates such claims by looking at various measures of correlation. Next, we assess to what...
Persistent link: https://www.econbiz.de/10013081553
We present a detailed bubble analysis of the Bitcoin to US Dollar price dynamics from January 2012 to February 2018. We introduce a robust automatic peak detection method that classifies price time series into periods of uninterrupted market growth (drawups) and regimes of uninterrupted market...
Persistent link: https://www.econbiz.de/10011899669
This study is motivated by the development of credit-related instruments and signals of stock price movements of large banks during the recent financial crisis. What is common to most of the empirical studies in this field is that they concentrate on modeling the conditional mean. However,...
Persistent link: https://www.econbiz.de/10010209431
Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...
Persistent link: https://www.econbiz.de/10011431370
has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting, and for …
Persistent link: https://www.econbiz.de/10011434566
has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting and for the …
Persistent link: https://www.econbiz.de/10011452269
In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in excess of different benchmarks, considering the short- and long-term interest rate, the earnings-by-price ratio, and the inflation rate. In particular, we apply in a two-step...
Persistent link: https://www.econbiz.de/10012127861