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相关论文: The 2020 Global Stock Market Crash: Endogenous or …

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We employed the log-periodic power law singularity (LPPLS) methodology to systematically investigate the 2020 stock market crash in the U.S. equities sectors with different levels of total market capitalizations through four major U.S.…

风险管理 · 定量金融 2021-01-12 Min Shu , Ruiqiang Song , Wei Zhu

We perform an extended analysis of the distribution of drawdowns in the two leading exchange markets (US dollar against the Deutsmark and against the Yen), in the major world stock markets, in the U.S. and Japanese bond market and in the…

统计力学 · 物理学 2011-04-07 A. Johansen , D. Sornette

This paper explores the mechanisms behind extreme financial events, specifically market crashes, by employing the theoretical framework of phase transitions. We focus on endogenous crashes, driven by internal market dynamics, and model…

数理金融 · 定量金融 2024-08-14 Revant Nayar , Minhajul Islam

Markets are subjected to both endogenous and exogenous risks that have caused disruptions to financial and economic markets around the globe, leading eventually to fast stock market declines. In the past, markets have recovered after any…

This paper presents an exclusive classification of the largest crashes in Dow Jones Industrial Average (DJIA), SP500 and NASDAQ in the past century. Crashes are objectively defined as the top-rank filtered drawdowns (loss from the last…

统计力学 · 物理学 2009-11-10 Anders Johansen

Renowned method of log-periodic power law(LPPL) is one of the few ways that a financial market crash could be predicted. Alongside with LPPL, this paper propose a novel method of stock market crash using white box model derived from simple…

统计金融 · 定量金融 2021-08-27 HyeonJun Kim

In this study, we perform a novel analysis of the 2015 financial bubble in the Chinese stock market by calibrating the Log Periodic Power Law Singularity (LPPLS) model to two important Chinese stock indices, SSEC and SZSC, from early 2014…

统计金融 · 定量金融 2019-06-14 Min Shu , Wei Zhu

Speculative bubbles exhibit common statistical signatures across many financial markets, suggesting the presence of universal underlying mechanisms. We test this hypothesis in the Iranian stock market, an economy that is highly isolated,…

统计金融 · 定量金融 2025-12-16 Ali Hosseinzadeh

The stock market is volatile and complicated, especially in 2020. Because of a series of global and regional "black swans," such as the COVID-19 pandemic, the U.S. stock market triggered the circuit breaker three times within one week of…

统计金融 · 定量金融 2021-10-01 Jinlong Ruan , Wei Wu , Jiebo Luo

In the past decade, Bitcoin as an emerging asset class has gained widespread public attention because of their extraordinary returns in phases of extreme price growth and their unpredictable massive crashes. We apply the log-periodic power…

统计金融 · 定量金融 2020-04-22 Min Shu , Wei Zhu

We identify a robust structural signature of stock markets during exogenous shock events by analyzing collective return dynamics across G5 countries. Using Random Matrix Theory, we introduce the complexity gap, defined as the difference…

统计金融 · 定量金融 2026-04-22 Kundan Mukhia , Imran Ansari , Md. Nurujjaman

We present an advance bubble detection methodology based on the Log Periodic Power Law Singularity (LPPLS) confidence indicator for the early causal identification of positive and negative bubbles in the Chinese stock market using the daily…

统计金融 · 定量金融 2020-08-26 Min Shu , Wei Zhu

A number of papers claim that a Log Periodic Power Law (LPPL) fitted to financial market bubbles that precede large market falls or 'crashes', contain parameters that are confined within certain ranges. The mechanism that has been claimed…

统计金融 · 定量金融 2020-07-27 David S. Bree , Nathan Lael Joseph

We exploit a recent computational framework to model and detect financial crises in stock markets, as well as shock events in cryptocurrency markets, which are characterized by a sudden or severe drop in prices. Our method manages to detect…

计算几何 · 计算机科学 2021-03-25 Apostolos Chalkis , Emmanouil Christoforou , Theodore Dalamagkas , Ioannis Z. Emiris

The paper presents a comprehensive causality analysis of the US stock and commodity markets during the COVID-19 crash. The dynamics of different sectors are also compared. We use Topological Data Analysis (TDA) on multidimensional…

统计金融 · 定量金融 2025-02-21 Buddha Nath Sharma , Anish Rai , SR Luwang , Md. Nurujjaman , Sushovan Majhi

By combining (i) the economic theory of rational expectation bubbles, (ii) behavioral finance on imitation and herding of investors and traders and (iii) the mathematical and statistical physics of bifurcations and phase transitions, the…

综合金融 · 定量金融 2010-02-07 Wanfeng Yan , Ryan Woodard , Didier Sornette

We analyze how investor expectations about economic growth and stock returns changed during the February-March 2020 stock market crash induced by the COVID-19 pandemic, as well as during the subsequent partial stock market recovery. We…

综合经济学 · 经济学 2020-05-25 Stefano Giglio , Matteo Maggiori , Johannes Stroebel , Stephen Utkus

During any unique crisis, panic sell-off leads to a massive stock market crash that may continue for more than a day, termed as mainshock. The effect of a mainshock in the form of aftershocks can be felt throughout the recovery phase of…

统计金融 · 定量金融 2021-10-18 Anish Rai , Ajit Mahata , Md Nurujjaman , Om Prakash

Since August 2000, the stock market in the USA as well as most other western markets have depreciated almost in synchrony according to complex patterns of drops and local rebounds. In \cite{SZ02QF}, we have proposed to describe this…

统计力学 · 物理学 2008-12-02 W. -X. Zhou , D. Sornette

Historically, the economic recession often came abruptly and disastrously. For instance, during the 2008 financial crisis, the SP 500 fell 46 percent from October 2007 to March 2009. If we could detect the signals of the crisis earlier, we…

统计金融 · 定量金融 2024-01-15 Yue Chen , Xingyi Andrew , Salintip Supasanya
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