Among cryptocurrencies (CC), Bitcoin has received much attention in the media and by investors, although there remains skepticism and a lack of understanding of this cryptocurrency. Some studies have found strong evidence of long-memory (long range dependence (LRD)) characteristics in the...

We augment the existing literature using the Log-Periodic Power Law Singular (LPPLS) structures in the log-price dynamics to diagnose financial bubbles by providing three main innovations. First, we introduce the quantile regression to the LPPLS detection problem. This allows us to disentangle...

This paper presents a tractable, transparent and broad-based domestic cyclical systemic risk indicator (d-SRI) that captures risks stemming from domestic credit, real estate markets, asset prices, and external imbalances. The d-SRI increases on average several years before the onset of systemic...

In this paper, the authors investigate the statistical properties of some cryptocurrencies by using three layers of analysis: alpha-stable distributions, Metcalfe’s law and the bubble behaviour through the LPPL modelling. The results show, in the medium to long-run, the validity of Metcalfe's...

We develop an ecological open-economy SFC model that enables testing cross-area interactions among productive sectors, financial markets and the ecosystem. We show that the unequal technical progress across areas, coupled with rising ecological awareness, can force governments of less...

Based on a review of international and regional responses to the global financial and economic crisis and its implications for finance in Asia, Douglas Arner and Lotte Schou-Zibell draw lessons for Asian financial systems with regard to the scope of regulation; financial standards; supervision,...

We develop a new method that detects jumps nonparametrically in financial time series and significantly outperforms the current benchmark on simulated data. We use a long short- term memory (LSTM) neural network that is trained on labelled data generated by a process that experiences both jumps...

We operationalize the definition of systemic risk provided by the IMF, BIS, and FSB and derive testable hypotheses to identify indicators of systemic risk. We map these hypotheses into a two-stage hierarchical testing framework, combining insights from the early-warning literature on financial...

In this study, we analyze the forecast accuracy and profitability of buy recommendations published in five major German financial magazines for private households based on fundamental analysis. The results show a high average forecast accuracy but with a very high standard deviation, which...

In this paper the authors investigate the statistical properties of some cryptocurrencies by using three layers of analysis: alpha-stable distributions, Metcalfe’s law and the bubble behaviour through the LPPL modelling. The results show, in the medium to long-run, the validity of Metcalfe's...