Results 21 to 30 of about 82,495 (263)

Empirical properties of the variety of a financial portfolio and the single-index model [PDF]

open access: yes, 2000
We investigate the variety of a portfolio of stocks in normal and extreme days of market activity. We show that the variety carries information about the market activity which is not present in the single-index model and we observe that the variety time ...
Lillo, Fabrizio, Mantegna, Rosario N.
core   +1 more source

Are Financial Crashes Predictable? [PDF]

open access: yes, 1998
We critically review recent claims that financial crashes can be predicted using the idea of log-periodic oscillations or by other methods inspired by the physics of critical phenomena.
  +14 more
core   +2 more sources

Logistic model for stock market bubbles and anti-bubbles [PDF]

open access: yes, 2017
Log-periodic power laws often occur as signatures of impending criticality of hierarchical systems in the physical sciences. It has been proposed that similar signatures may be apparent in the price evolution of financial markets as bubbles and the ...
Lynch, Christopher, Mestel, Benjamin
core   +1 more source

Data-Driven Estimation of a Driving Safety Tolerance Zone Using Imbalanced Machine Learning

open access: yesSensors, 2022
Predicting driving behavior and crash risk in real-time is a problem that has been heavily researched in the past years. Although in-vehicle interventions and gamification features in post-trip dashboards have emerged, the connection between real-time ...
Thodoris Garefalakis   +2 more
doaj   +1 more source

Renormalization Group Analysis of the 2000-2002 anti-bubble in the US S&P 500 index: Explanation of the hierarchy of 5 crashes and Prediction [PDF]

open access: yes, 2003
We propose a straightforward extension of our previously proposed log-periodic power law model of the ``anti-bubble'' regime of the USA market since the summer of 2000, in terms of the renormalization group framework to model critical points.
Bouchaud   +23 more
core   +2 more sources

Real-time crash prediction on freeways using data mining and emerging techniques

open access: yesJournal of Modern Transportation, 2017
Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications.
Jinming You, Junhua Wang, Jingqiu Guo
doaj   +1 more source

Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

open access: yesInternational Journal of Transportation Science and Technology, 2023
The cut-ins (one kind of lane-changing behaviors) have result in severe safety issues, especially at the entrances and exits of urban expressways. Risk prediction and characteristics analysis of cut-ins are part of the essential research for advanced in ...
Tianyang Luo   +4 more
doaj   +1 more source

A real-time crash prediction model for the ramp vicinities of urban expressways

open access: yesIATSS Research, 2013
Ramp vicinities are arguably the known black-spots on urban expressways. There, while maintaining high speed, drivers need to respond to several complex events such as maneuvering, reading road signs, route planning and maintaining safe distance from ...
Moinul Hossain, Yasunori Muromachi
doaj   +1 more source

Real-Time Precise DGNSS/INS Integrated Relative Positioning with High Output Rate and Low Broadcast Rate for Kinematic-to-Kinematic Applications

open access: yesRemote Sensing, 2022
High-output-rate relative positions are required for high-speed safety-critical kinematic-to-kinematic applications such as pre-crash sensing and shipboard landing.
Qingsong Li   +4 more
doaj   +1 more source

Real-Time Crash Prediction Model for Application to Crash Prevention in Freeway Traffic

open access: yesTransportation Research Record: Journal of the Transportation Research Board, 2003
The likelihood of a crash or crash potential is significantly affected by the short-term turbulence of traffic flow. For this reason, crash potential must be estimated on a real-time basis by monitoring the current traffic condition. In this regard, a probabilistic real-time crash prediction model relating crash potential to various traffic flow ...
Chris Lee   +2 more
openaire   +1 more source

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