feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Type of Medium
Language
Region
Subjects(RVK)
Access
  • 1
    Online Resource
    Online Resource
    San Diego :Academic Press,
    UID:
    almahu_9949697526902882
    Format: 1 online resource (xviii, 485 pages) : , illustrations
    ISBN: 1-282-28482-7 , 9786612284823 , 0-08-051187-2
    Content: This essay collection focuses on the relationship between continuous time models and Autoregressive Conditionally Heteroskedastic (ARCH) models and applications. For the first time, Modelling Stock Market Volatility provides new insights about the links between these two models and new work on practical estimation methods for continuous time models. Featuring the pioneering scholarship of Daniel Nelson, the text presents research about the discrete time model, continuous time limits and optimal filtering of ARCH models, and the specification and estimation of continuous time processes.
    Note: Front Cover; Modelling Stock Market Volatility: Bridging the Gap to Continuous Time; Copyright Page; CONTENTS; CONTRIBUTORS; INTRODUCTION; PART I: UNDERSTANDING AND SPECIFYING THE DISCRETE TIME MODEL; Chapter 1. Modelling Stock Market Volatility Changes; Chapter 2. Stationarity and Persistence in the GARCH(I,I) Model; Chapter 3. Conditional Heteroskedasticity in Asset Returns: A New Approach; Chapter 4. Good News, Bad News, Volatility, and Betas; PART II: CONTINUOUS TIME LIMITS AND OPTIMAL FILTERING FOR ARCH MODELS; Chapter 5. ARCH Models as Diffusion Approximations , Chapter 6. Filtering and Forecasting with Misspecified ARCH Models I: Getting the Right Variance with the Wrong Model; Chapter 7. Filtering and Forecasting with Misspecified ARCH Models II: Making the Right Forecast with the Wrong Model; Chapter 8. Asymptotic Filtering Theory for Univariate ARCH Models; Chapter 9. Asymptotic Filtering Theory for Multivariate ARCH Models; Chapter 10. Continuous Record Asymptotics for Rolling Sample Variance Estimators; PART III: SPECIFICATION AND ESTIMATION OF CONTINUOUS TIME PROCESSES; Chapter 11. Estimating Diffusion Models of Stochastic Volatility , Chapter 12. Specification Analysis of Continuous Time Models in Finance; Chapter 13. Back to the Future: Generating Moment Implications for Continuous-Time Markov Processes; Chapter 14. Nonparametric Pricing of Interest Rate Derivative Securities; INDEX , English
    Additional Edition: ISBN 0-12-598275-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Book
    Book
    San Diego [u.a.] :Acad. Press,
    UID:
    almafu_BV011228132
    Format: XVIII, 485 S. : graph. Darst.
    ISBN: 0-12-598275-5
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Aktienkurs ; Mathematisches Modell ; Aktienmarkt ; Volatilität ; Mathematisches Modell ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    UID:
    gbv_1831630540
    ISBN: 9780444637659
    Content: The primary emphasis of quantitative marketing is on the evaluation of firm policies for determination of marketing variables as well as the optimization of these policies. Thus, our methods of inference must apply to decision problems and to policy evaluation. In addition, the data we have access to in marketing shapes the demands on inference in a qualitatively different manner than in economics. In marketing, we typically have data at a much lower level of product aggregation. This poses the challenge of creating demand systems for large numbers of products with an element of discrete demand. Traditionally, market researchers have used data at a very high level of geographic aggregation which raises real concerns regarding valid causal inferences. The availability of data at lower level of geographic aggregation, including consumer panel data, holds out the prospect for improved causal inferences even in the absence of experimentation. In addition, the highly targeted nature of some forms of advertising pose significant challenges for ad effect measurement. At the same time, heterogeneity in the effects of marketing variables create a profusion of model parameters placing further demands on the method of inference. In this chapter, we will review methods of inference as they apply specifically to the challenges posed in marketing applications.
    In: Handbook of the economics of marketing, San Diego : Elsevier Science & Technology, 2019, (2019), Seite 69-149, 9780444637659
    In: year:2019
    In: pages:69-149
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    UID:
    gbv_183163046X
    ISBN: 9780444637659
    In: Handbook of the economics of marketing, San Diego : Elsevier Science & Technology, 2019, (2019), Seite xv-xix, 9780444637659
    In: year:2019
    In: pages:xv-xix
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    UID:
    gbv_1831630605
    ISBN: 9780444637659
    Content: Observational data on either individual or aggregate demand is often not sufficient to identify consumer preferences due to lack of variation in prices or product features, or the desire to study product features not currently available. Choice-based conjoint analysis offers a solution to this problem by creating hypothetical product choices via experimental design and collecting demand data using survey methods. Choice-based conjoint designs can apply to a pure discrete choice model of demand in which consumers only purchase one unit from a set of products or to more general settings (termed “volumetric” conjoint analysis) in which consumers have the opportunity to purchase more than one product and to consume continuously variable quantities. This chapter provides the economic foundations for choice-based conjoint analysis along with efficient statistical methods for estimation and prediction of demand. We review the requirements that formal economic and statistical analyses impose on the design of conjoint surveys as well as the analysis of the conjoint survey data. A number of variations on conjoint analysis which appear in the literature do not conform to these requirements and, therefore, may provide erroneous inferences and predictions. We provide an example where both demand data and conjoint survey data are available for the same consumers and provide some conclusions regarding what aspects of preference estimation are consistent between actual marketplace data and conjoint survey data. All models and procedures in this chapter are available as R packages.
    In: Handbook of the economics of marketing, San Diego : Elsevier Science & Technology, 2019, (2019), Seite 151-192, 9780444637659
    In: year:2019
    In: pages:151-192
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    UID:
    almafu_BV022363903
    Format: X, 348 S. : , graph. Darst.
    Edition: Repr. with corr.
    ISBN: 0-470-86367-6 , 978-0-470-86367-1
    Series Statement: Wiley series in probability and statistics
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Marketing ; Bayes-Verfahren ; Marketingforschung ; Bayes-Verfahren ; Bayer-Verfahren ; R ; Marketingforschung ; Marketing ; Bayes-Entscheidungstheorie ; Mathematisches Modell ; Bibliographie enthalten ; Lehrbuch
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    UID:
    gbv_1681587017
    Format: 1 Online-Ressource (634 pages)
    ISBN: 9780444637659
    Content: Front Cover; Handbook of the Economics of Marketing, Volume 1; Copyright; Contents; Contributors; Preface; 1 Microeconometric models of consumer demand; 1 Introduction; 2 Empirical regularities in shopping behavior: The CPG laboratory; 3 The neoclassical derivation of an empirical model of individual consumer demand; 3.1 The neoclassical model of demand with binding, non-negativity constraints; 3.1.1 Estimation challenges with the neoclassical model; 3.1.2 Example: Quadratic utility; 3.1.3 Example: Linear expenditure system (LES); 3.1.4 Example: Translated CES utility
    Content: 3.1.5 Virtual prices and the dual approach3.1.6 Example: Indirect translog utility; 3.2 The discrete/continuous product choice restriction in the neoclassical model; 3.2.1 The primal problem; 3.2.2 Example: Translated CES utility; 3.2.3 Example: The dual problem with indirect translog utility; 3.2.4 Promotion response: Empirical ndings using the discrete/continuous demand model; 3.3 Indivisibility and the pure discrete choice restriction in the neoclassical model; 3.3.1 A neoclassical derivation of the pure discrete choice model of demand
    Content: 3.3.2 The standard pure discrete choice model of demand4 Some extensions to the typical neoclassical speci cations; 4.1 Income effects; 4.1.1 A non-homothetic discrete choice model; 4.2 Complementary goods; 4.2.1 Complementarity between products within a commodity group; 4.2.2 Complementarity between commodity groups (multi-category models); Example: Perfect substitutes within a commodity group; 4.3 Discrete package sizes and non-linear pricing; 4.3.1 Expand the choice set; 4.3.2 Models of pack size choice; 5 Moving beyond the basic neoclassical framework
    Content: 5.1 Stock-piling, purchase incidence, and dynamic behavior5.1.1 Stock-piling and exogenous consumption; 5.1.2 Stock-piling and endogenous consumption; 5.1.3 Empirical ndings with stock-piling models; 5.2 The endogeneity of marketing variables; 5.2.1 Incorporating the supply side: A structural approach; 5.2.2 Incorporating the supply side: A reduced-form approach; 5.3 Behavioral economics; 5.3.1 The fungibility of income; 5.3.2 Social preferences; 6 Conclusions; References; 2 Inference for marketing decisions; 1 Introduction; 2 Frameworks for inference
    Content: 2.1 A brief review of statistical properties of estimators2.2 Distributional assumptions; 2.3 Likelihood and the MLE; 2.4 Bayesian approaches; 2.4.1 The prior; 2.4.2 Bayesian computation; 2.5 Inference based on stochastic search vs. gradient-based optimization; 2.6 Decision theory; 2.6.1 Firms pro ts as a loss function; 2.6.2 Valuation of information sets; 2.7 Non-likelihood-based approaches; 2.7.1 Method of moments approaches; 2.7.2 Ad hoc approaches; 2.8 Evaluating models; 3 Heterogeneity; 3.1 Fixed and random effects; Mixed logit models; 3.2 Bayesian approach and hierarchical models
    Content: 3.2.1 A generic hierarchical approach
    Additional Edition: ISBN 0444637656
    Additional Edition: ISBN 9780444637598
    Additional Edition: ISBN 0444637591
    Additional Edition: ISBN 9780444637598
    Additional Edition: Erscheint auch als Druck-Ausgabe Handbook of the economics of marketing ; Volume 1 Amsterdam : North Holland, Elsevier, 2019 ISBN 9780444637598
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Marketing
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    Online Resource
    Online Resource
    Amsterdam, Netherlands ; : North-Holland,
    UID:
    almahu_9948621213302882
    Format: 1 online resource (634 pages).
    ISBN: 0-444-63765-6
    Series Statement: Handbooks in economics
    Content: Vol. 1. This is the first volume of the Handbook on the Economics of Marketing series. The emerging field of quantitative marketing has impacted both substantively and methodologically several mainstream areas in economics ranging from Industrial Organization to Macroeconomics. The access to granular, consumer-level data has enabled the field of marketing to develop insights into consumer behavior and the corresponding implications for firms' marketing strategies. This consumer-focused study of firm behavior has wide-ranging implications for the formation of industrial market structure, prices and consumer-oriented public policies. The chapters survey several of the key themes in quantitative marketing and their implicatins for economic research. This volume will serve as an excellent reference and teaching supplement for marketing, industrial organization and other consumer-focused disciplines in economics--back cover.
    Note: Vol. 1. Chapter 1. Microeconometric models of consumer demand / Jean-Pierre Dubé -- Chapter 2. Inference for marketing decisions / Greg M. Allenby, Peter E. Rossi -- Chapter 3. Economic foundations of conjoint analysis / Greg M. Allenby, Nino Hardt, Peter E. Rossi -- Chapter 4. Empirical search and consideration sets / Elisabeth Honka, Ali Hortac̦scu, Matthijs Wildenbeest -- Chapter 5. Digital marketing -- Chapter 6. The economics of brands and branding -- Chapter 7. Diffusion and pricing over the product life cycle / Harikesh S. Nair -- Chapter 8. Selling and sales management / Sanjog Misra -- Chapter 9. How price promotions work: A review of practice and theory / Eric T. Anderson, Edward J. Fox -- Chapter 10. Marketing and public policy / Rachel Griffith, Aviv Nevo
    Additional Edition: ISBN 0-444-63759-1
    Language: English
    Keywords: Handbook ; Handbooks and manuals. ; Handbooks and manuals. ; Guides et manuels. ; Handbook ; Handbooks and manuals. ; Handbooks and manuals. ; Guides et manuels.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 9
    UID:
    almafu_9959328080702883
    Format: 1 online resource (x, 348 pages) : , illustrations
    ISBN: 9780470863671 , 0470863676 , 0470863692 , 9780470863695 , 0470863684 , 9780470863688
    Additional Edition: Print version: Rossi, Peter E. (Peter Eric), 1955- Bayesian statistics and marketing. Hoboken, NJ : Wiley, ©2005 ISBN 0470863676
    Additional Edition: ISBN 9780470863671
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books. ; Electronic books. ; Electronic books. ; Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 10
    UID:
    almafu_9961638231202883
    Format: 1 online resource (viii, 391 pages) : , illustrations (some color).
    Edition: Second edition.
    ISBN: 9781394219148 , 1394219148 , 9781394219124 , 1394219121 , 9781394219131 , 139421913X
    Series Statement: Wiley series in probability and statistics
    Content: "Bayesian statistics can help to provide unique insights into important issues in many fields. Bayesian statistics is not new, but traditionally it has not been widely taught as it is computationally challenging and there were criticisms surrounding the subjectivity of Bayesian methods. As computing power has increased, computational and modelling breakthroughs have made the implementation of Bayesian methods ideal for addressing many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing problems, from new product introduction and pricing to customized targeting and micro-pricing in online environments, using a wide range of different data sources."--
    Additional Edition: Print version: Rossi, Peter E. 1955- Bayesian statistics and marketing Hoboken, NJ : Wiley, [2024] ISBN 9781394219117
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages