M. Martens
Finance · with Dijk · 2001–2009
A researcher in the Science corpus: 10 papers; trusts 22 researchers and is trusted by 56 researchers here, as inferred from the citation graph.
Subfields
- Finance — 78 citations into it; #570 of 10,518 by trust here, #1,136 by citations
- Economics and Econometrics — 74 citations into it; #1,134 of 23,481 by trust here, #2,796 by citations
Whom M. Martens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- P. R. Hansen
- Torben G. Andersen
- F. Bandi
- Ole E. Barndorff-Nielsen
- Tim Bollerslev
- Asger Lunde
- Jeffrey R. Russell
- N. Shephard
- Yacine Aït-Sahalia
- Francis X. Diebold
Who trusts M. Martens overall
- P. R. Hansen
- Ser-Huang Poon
- Tim Bollerslev
- Torben G. Andersen
- Asger Lunde
- Michael Mcaleer
- Christian T. Brownlees
- Andrew J. Patton
- Ole E. Barndorff-Nielsen
- Keith Kuester
Papers from M. Martens's perspective
Ordered by how strongly the researchers M. Martens trusts endorse each paper. Same corpus, a different order for every researcher.
- Econometric analysis of realized volatility and its use in estimating stochastic volatility models
- A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data
- Separating Microstructure Noise from Volatility
- A Simple Long Memory Model of Realized Volatility
- MODELING AND FORECASTING REALIZED VOLATILITY
- The distribution of realized stock return volatility
- On the Estimation of Security Price Volatilities from Historical Data
- Econometric analysis of realised volatility and its use in estimating stochastic volatility models
- The jump-risk premia implicit in options: evidence from an integrated time-series study $
- Estimating Daily Volatility in Financial Markets Utilizing Intraday Data
Their papers
- Measuring and Forecasting S&P 500 Index-Futures Volatility Using High-Frequency Data (2002) — 263 citations
- Measuring volatility with the realized range (2006) — 339 citations
- Returns synchronization and daily correlation dynamics between international stock markets (2001) — 241 citations
- Forecasting daily exchange rate volatility using intraday returns (2001) — 120 citations
- Predicting Financial Volatility: High-Frequency Time-Series Forecasts Vis-a-Vis Implied Volatility (2002) — 201 citations
- Predicting financial volatility: High-frequency time-series forecasts vis-à-vis implied volatility: Predicting Financial Volatility (2004) — 125 citations
- A Comparison of Seasonal Adjustment Methods When Forecasting Intraday Volatility (2002) — 128 citations
- Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use? (2008) — 135 citations
- Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements (2009) — 157 citations
- Testing the Mixture of Distributions Hypothesis Using (2002) — 66 citations