Markus Haas
Finance · 2004–2009
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Finance — 51 citations into it; #3,968 of 10,518 by trust here, #3,009 by citations
- Economics and Econometrics — 43 citations into it; #12,360 of 23,481 by trust here, #10,609 by citations
- Statistics and Probability — 19 citations into it; #8,063 of 12,932 by trust here, #6,310 by citations
Whom Markus Haas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tim Bollerslev
- Daniel B. Nelson
- Stefan Mittnik
- Geoffrey J. McLachlan
- C. Wong
- Ole E. Barndorff-Nielsen
- Hirotogu Akaike
- Stuart Geman
- Alan E. Gelfand
- Luc Bauwens
Who trusts Markus Haas overall
- Timo Teräsvirta
- Rania Jammazi
- David Ardia
- David E. Rapach
- Keith Kuester
- Jan S. Henneke
- Luc Bauwens
- Jack Strauss
- Stefan Mittnik
- Marc S. Paolella
Papers from Markus Haas's perspective
Ordered by how strongly the researchers Markus Haas trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized autoregressive conditional heteroskedasticity
- The Behavior of Stock-Market Prices
- On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks
- Information Theory and an Extension of the Maximum Likelihood Principle
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Mixture models : inference and applications to clustering
- Sampling-Based Approaches to Calculating Marginal Densities
- Estimating the Dimension of a Model
- Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
Their papers
- A New Approach to Markov-Switching GARCH Models (2004) — 558 citations
- Mixed Normal Conditional Heteroskedasticity (2004) — 214 citations
- Financial economics: Fat-tailed distributions (2009) — 85 citations