Credit Scoring Response Modelling and Insurance Rating ab 118.99 € als pdf eBook: A Practical Guide to Forecasting Consumer Behaviour. Aus dem Bereich: eBooks, Wirtschaft,
Credit Scoring Response Modeling and Insurance Rating ab 128.49 € als gebundene Ausgabe: A Practical Guide to Forecasting Consumer Behavior. 2nd ed. 2012. Aus dem Bereich: Bücher, Wissenschaft, Wirtschaftswissenschaft,
Already provoking debate and garnering significant attention in France and within the wine world, Vino Business is a surprising and eye-opening book about the dark side of French wine by acclaimed investigative journalist Isabelle Saporta. While Bordeaux has been a bastion of winemaking tradition and excellence for centuries, in recent decades the industry has changed dramatically under the influence of large-scale international investors. French insurance companies, international fashion houses, and Chinese businessmen are all speculating on the area's wines and land, some of whose value has increased tenfold in the last decade alone. Saporta investigates in detail the 2012 classification of the wines of Saint-Émilion, the most prestigious appellation of Bordeaux's right bank, which has come into disrepute, not least because the scoring system was changed in order to give points for a châteaux's lecture facilities and the size of its parking lot. A shocking exposé of the French wine world and a cri de coeur for the lost values of traditional winemaking, Vino Business pulls back the curtain on the secret domain of Bordeaux, a land ever more in thrall to the grapes of wealth. 1. Language: English. Narrator: Kristin Kalbli. Audio sample: http://samples.audible.de/bk/adbl/025368/bk_adbl_025368_sample.mp3. Digital audiobook in aax.
Credit Scoring Response Modeling and Insurance Rating ab 118.99 EURO A Practical Guide to Forecasting Consumer Behavior
Credit Scoring Response Modelling and Insurance Rating ab 118.99 EURO A Practical Guide to Forecasting Consumer Behaviour
A survey of the German population addressed attitudes towards scenarios of big data practices, i.e. price discrimination in retail, credit scoring, differentiations in health insurance and in employment, with features of using internet data, automated decision-making, and selling of data. The study analysed behavioural adaptations, protection measures, relations to demographics, personal value orientations, knowledge about computers, and attitudes about privacy and data protection.
A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.
Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.
The interaction between mathematicians and statisticians has been shown to be an e&#64256;ective approach for dealing with actuarial, insurance and &#64257;nancial problems, both from an academic perspective and from an operative one. The collection of original papers presented in this volume pursues precisely this purpose. It covers a wide variety of subjects in actuarial, insurance and &#64257;nance &#64257;elds, all treated in the light of the successful cooperation between the above two quantitative approaches. The papers published in this volume present theoretical and methodological contributions and their applications to real contexts. With respect to the theoretical and methodological contributions, some of the considered areas of investigation are: actuarial models; alternative testing approaches; behavioral &#64257;nance; clustering techniques; coherent and non-coherent risk measures; credit scoring approaches; data envelopment analysis; dynamic stochastic programming; &#64257;nancial contagion models; &#64257;nancial ratios; intelligent &#64257;nancial trading systems; mixture normality approaches; Monte Carlo-based methods; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; de&#64257;ned bene&#64257;t pension plans; double-indexed pension annuities; ef&#64257;cient-market hypothesis; exchange markets; &#64257;nancial time series; &#64257;rms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts. This book is aimed at academics, Ph.D. students, practitioners, professionals and researchers. But it will also be of interest to readers with some quantitative background knowledge.