textabstractWe propose a modeling framework which allows for creating probability predictions on a future market crash in the medium term, like sometime in the next five days. Our framework draws upon noticeable similarities between stock returns around a financial market crash and seismic activity around earthquakes. Our model is incorporated in an Early Warning System for future crash days. Testing our EWS on S&P 500 data during the recent financial crisis, we find positive Hanssen-Kuiper Skill Scores. Furthermore our modeling framework is capable of exploiting information in the returns series not captured by well known and commonly used volatility models. EWS based on our models outperform EWS based on the volatility models forecasting ...
在此篇論文之前, 已經有許多學者指出在金融市場奔盤之前的價格波動與熱物理學中的臨界現象有所類似. 其價格會呈現Power law的形式迅速加速上升, 同時伴隨著log-periodic震盪. 藉由fi...
Abstract: In this work problem of Dow Jones falls forecasting is considered. Financial and...
For five stock market crashes, we compare price declines with pre-dictions from market microstructur...
We propose a modeling framework which allows for creating probability predictions on a future market...
Most previous models proposed for financial crashes have pondered the possible mechanisms to explain...
Stock market crashes have been a constant subject of interest among capital market researchers. Cras...
The occurrence of aftershocks following a major financial crash manifests the critical dynamical res...
The main objective of this study is to find out if it is possible to create a simple model that anti...
Could the magnitude of the stock market crash of 19.10.1987 be predicted on the base of the data ava...
This paper develops a two-step estimation methodology, which allows us to apply catastrophe the-ory ...
I develop a dynamic equilibrium model that incorporates incorrect beliefs about crash risk and use i...
As the stock market came to the attention of increasing numbers of physicists, an idea that has rece...
ABSTRACT This paper introduces a general model of why financial system disasters occur. The first e...
. -- We critically review recent claims that financial crashes can be predicted using the idea of lo...
Our societies are facing all kinds of extreme events that are hard to anticipate, yet can bring trem...
在此篇論文之前, 已經有許多學者指出在金融市場奔盤之前的價格波動與熱物理學中的臨界現象有所類似. 其價格會呈現Power law的形式迅速加速上升, 同時伴隨著log-periodic震盪. 藉由fi...
Abstract: In this work problem of Dow Jones falls forecasting is considered. Financial and...
For five stock market crashes, we compare price declines with pre-dictions from market microstructur...
We propose a modeling framework which allows for creating probability predictions on a future market...
Most previous models proposed for financial crashes have pondered the possible mechanisms to explain...
Stock market crashes have been a constant subject of interest among capital market researchers. Cras...
The occurrence of aftershocks following a major financial crash manifests the critical dynamical res...
The main objective of this study is to find out if it is possible to create a simple model that anti...
Could the magnitude of the stock market crash of 19.10.1987 be predicted on the base of the data ava...
This paper develops a two-step estimation methodology, which allows us to apply catastrophe the-ory ...
I develop a dynamic equilibrium model that incorporates incorrect beliefs about crash risk and use i...
As the stock market came to the attention of increasing numbers of physicists, an idea that has rece...
ABSTRACT This paper introduces a general model of why financial system disasters occur. The first e...
. -- We critically review recent claims that financial crashes can be predicted using the idea of lo...
Our societies are facing all kinds of extreme events that are hard to anticipate, yet can bring trem...
在此篇論文之前, 已經有許多學者指出在金融市場奔盤之前的價格波動與熱物理學中的臨界現象有所類似. 其價格會呈現Power law的形式迅速加速上升, 同時伴隨著log-periodic震盪. 藉由fi...
Abstract: In this work problem of Dow Jones falls forecasting is considered. Financial and...
For five stock market crashes, we compare price declines with pre-dictions from market microstructur...