Dobrislav Dobrev
Finance · 2007–2010
A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Finance — 55 citations into it; #2,766 of 10,518 by trust here, #4,858 by citations
- Economics and Econometrics — 40 citations into it; #5,946 of 23,481 by trust here, #12,103 by citations
- Statistics and Probability — 5 citations into it
Whom Dobrislav Dobrev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ole E. Barndorff-Nielsen
- N. Shephard
- Torben G. Andersen
- Michael Johannes
- David S. Bates
- V. Todorov
- Christopher S. Jones
- Mikhail Chernov
- P. R. Hansen
- Nicholas G. Polson
Who trusts Dobrislav Dobrev overall
- Tim Bollerslev
- Makoto Takahashi
- S. J. Koopman
- Kris Boudt
- Andrew J. Patton
- Toshiaki Watanabe
- Vivek Bhattacharya
- Marcel Scharth
- P. R. Hansen
- Fulvio Corsi
Papers from Dobrislav Dobrev's perspective
Ordered by how strongly the researchers Dobrislav Dobrev trusts endorse each paper. Same corpus, a different order for every researcher.
- The jump-risk premia implicit in options: evidence from an integrated time-series study $
- A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuation
- Post-'87 crash fears in the S&P 500 futures option market
- The Impact of Jumps in Volatility and Returns
- The Statistical and Economic Role of Jumps in Continuous-Time Interest Rate Models
- Power and bipower variation with stochastic volatility and jumps
- Econometric analysis of realised volatility and its use in estimating stochastic volatility models
- The Pricing of Options and Corporate Liabilities
- Properties of Bias-Corrected Realized Variance Under Alternative Sampling Schemes
- Stochastic Volatility: Selected Readings
Their papers
- No-Arbitrage Semi-Martingale Restrictions for Continuous-Time Volatility Models subject to Leverage Effects, Jumps and i.i.d. Noise: Theory and Testable Distributional Implications (2007) — 325 citations
- The information content of high-frequency data for estimating equity return models and forecasting risk (2010) — 58 citations