Results 121 to 130 of about 681,470 (291)

KERUMUNAN HARGA SAHAM PADA MULTIFRAKSI

Benefit Jurnal Manajemen dan Bisnis, 2010
Price clustering is the tendency of prices to be observed more often at some numbers than others. This study documents the existence and persistence of stock price clustering on the Jakarta Stock Exchange. Over the period from 2001 to 2004, daily closing
Lukas Purwoto
doaj  

Volatility forecasting [PDF]

, 2005
Volatility has been one of the most active and successful areas of research in time series econometrics and economic forecasting in recent decades. This chapter provides a selective survey of the most important theoretical developments and empirical ...
Tim Bollerslev, Diebold, Francis X., Torben G. Andersen, Francis X. Diebold, Andersen, Torben G., Peter F. Christoffersen, Bollerslev, Tim, Christoffersen, Peter F.   +7 more
core  

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

A noise trader model as a generator of apparent financial power laws and long memory [PDF]

In various agent-based models the stylized facts of financial markets (unit-roots, fat tails and volatility clustering) have been shown to emerge from the interactions of agents.
Alfarano, Simone, Lux, Thomas
core  

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

COMPARATIVE FORECASTING PERFORMANCE OF DAILY EXCHANGE RATE VOLATILITY ACROSS DEVELOPED AND EMERGING ECONOMIES

Prizren Social Science Journal
This study comparatively examined the forecasting performance of machine learning and traditional volatility models in predicting daily exchange rate volatility across selected economies from 01 January 2015 to 08 May 2026.
Kamaldeen Ibraheem NAGERI
doaj   +1 more source

Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications

Advanced Robotics Research, EarlyView.
A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali, Abdurrahim Yilmaz, Meysam Keshavarz, Jinshi Zhao, Ara Darzi, Eric Yeatman, Burak Temelkuran   +6 more
wiley   +1 more source

Intraday price formation and volatility in the European Union emissions trading scheme: an introductory analysis [PDF]

This paper presents an introductory analysis of price formation and volatility in the European Union Emissions Trading Scheme using highfrequency data. The results show that there are several anomalies both in the EUA spot and EUA futures market.
Rotfuß, Waldemar
core  

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

The Behaviour of Salmon Price Volatility [PDF]

Salmon prices exhibit substantial volatility. An understanding of the structure of volatility is of great interest since this is a major contributor to economic risk in the salmon industry.
Sikveland, Marius, Oglend, Atle
core