It is a common misconception that in order to make consistent profits as a trader, one needs to posses some extra information leading to an asset value estimation more accurate than that reflected by the current market price. While the idea makes intuitive sense and is also well substantiated ...
It also pinpoints customers at risk of lapsing, and identifies areas of potential growth – and dangers – for companies. BOOK A DEMO Look-alike audiences Find and target your best prospects with audience look-alikes. Finding look-alikes using predictive modelling is a sophisticated technique used...
Risk management in the energy markets and Value-at-Risk modelling: a hybrid approach This paper proposes a set of Value-at-Risk (VaR) models appropriate to capture the dynamics of energy prices and subsequently quantify energy price risk by... K Andriosopoulos,N Nomikos - 《European Journal ...
A Survey of Predictive Modelling under Imbalanced Distributions: https://arxiv.org/pdf/1505.01658.pdf CGnal Research: https://arxiv.org/pdf/1701.03633.pdf Log-based Predictive Maintenance: https://astro.temple.edu/~tua63862/indg0371-sipos.pdf Event Detection and Predictive Maintenance using Comp...
Marco NunesAntonio AbreuAna DiasJose Duarte Moleiro MartinsAnnual European Simulation and Modelling Conference
Modelling discolouration in a Melbourne (Australia) potable water distribution system Reducing customer complaints of discoloured water is a major challenge for the water industry. The ability to predict the spatial probability and severity ... JB Boxall,RA Prince - Journal of Water Supply: Research...
This paper presents a novel framework to conduct empirical investigation and carry out predictive modelling on daily index prices of Bombay stock exchange, Dow Jones Industrial Average, Hang Seng Index, NIFTY 50, NASDAQ and NIKKEI, representing developed and emerging economies. We examine the equity ...
Analyse, simulate, and predict the changing health landscape Airfinity develops and deploys dynamic disease forecasting models to support horizon scanning, medical countermeasure impact modelling, clinical trial site optimisation, scenario-based demand intelligence, portfolio optimisation and more. ...
Nonlinear modelling of European football scores using support vector machines. Appl. Econ. 2008, 40, 111–118. [Google Scholar] [CrossRef] [Green Version] Constantinou, A.C.; Fenton, N.E. Profiting from arbitrage and odds biases of the European football gambling market. J. Gambl. Bus. ...
In conclusion, this study has provided valuable insights into the complex dynamics of property prices and the efficacy of predictive modelling in understanding and forecasting these trends within the UK real estate market. Through a comprehensive EDA and a review of the existing literature, we have ...