Research
Working papers
| Research |
|---|
2026 (Near) Real-Time Detection of Rapid Co-Movements with Candlestick InformationReka Lantos, Ingmar Nolte, Sandra Nolte and Manh Pham Working Paper, Lancaster University Management School. Working paper BibTeX |
2026 The Frequency Term Structure of Factor PremiaBruno Moreira, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. BibTeX |
2026 Volatility Forecasting FactorsMarco Cinquetti, Seok Young Hong, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. Working paper BibTeX |
2026 A Linear Weight Estimator for Dynamic Global Minimum Variance Portfolio AllocationEkaterina Kazak, Yifan Li, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. Working paper BibTeXClosely related versionRealized Weight Regression for Dynamic Realized Global Minimum Variance Portfolio Allocation BibTeX |
2026 The Impact of Misleading Corporate Communication on Stock PerformanceLewei He, Harald Lohre, Ingmar Nolte and Yaqiong Yao Working Paper, Lancaster University Management School. Working paper BibTeX |
2025 The Price of Emissions: Carbon Risk in the European Equity MarketLewei He, Harald Lohre, Ingmar Nolte and Yaqiong Yao Working Paper, Lancaster University Management School. Working paper BibTeX |
2024 Power SortingAnastasios Kagkadis, Harald Lohre, Ingmar Nolte, Sandra Nolte, Manh Cuong Pham and Nikolaos Vasilas Working Paper, Lancaster University Management School. Working paper BibTeX |
2022 The Maximal Range-Return Divergence StatisticYifan Li, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. Working paper BibTeX |
2022 Direct Portfolio Weight Estimator: Mitigating Specification Risk with Realized UtilityEkaterina Kazak, Yifan Li, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. Working paper BibTeX |
2021 Volatility Estimation and Sampling Efficiency: An Intrinsic Time ApproachYifan Li, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. BibTeX |
2021 Combining expected shortfall and value-at-risk forecasts using machine learning techniquesDavid Happersberger, Harald Lohre, Ingmar Nolte and Maximilian Stroh Working Paper, Lancaster University Management School. BibTeX |
2021 Bolstering the Modelling and Forecasting of Realized Covariance Matrices using (Directional) Common JumpsRodrigo Hizmeri, Marwan Izzeldin and Ingmar Nolte Working Paper, Lancaster University Management School. Working paper BibTeX |
2020 The relevance of high-frequency news analytics for lower-frequency investment strategiesDavid Happersberger, Harald Lohre, Ingmar Nolte and Carsten Rother Working Paper, Lancaster University Management School. Working paper BibTeX |
2019 Renewal Based Volatility EstimationYifan Li, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. Working paper BibTeX |
2019 Revisiting the Measurement Error in q: An Investigation of the Covariance among RegressorsShushu Liao, Ingmar Nolte and Grzegorz Pawlina Working Paper, Lancaster University Management School. BibTeX |
2018 High-Frequency Covariance Matrix Estimation Using Price DurationsXiaolu Zhao, Ingmar Nolte and Stephen J. Taylor Working Paper, Lancaster University Management School. Working paper BibTeX |
2017 High-Frequency Volatility Estimation and the Relative Importance of Market Microstructure VariablesYifan Li, Ingmar Nolte and Sandra Nolte Working Paper, Lancaster University Management School. Working paper BibTeX |
2017 A Least Squares Regression Realised Covariation Estimation under MMS Noise and Non-Synchronous TradingIngmar Nolte, Michalis Vasios, Valeri Voev and Qi Xu Working Paper, Lancaster University Management School. BibTeXRelated versionA Least Squares Regression Realized Covariation Estimation BibTeX |
2017 All Things both Great and Small: Transaction Cost Persistence in Corporate BondsRedouane Elkamhi, Jonatan Groba and Ingmar Nolte Working Paper, Lancaster University Management School. Working paper BibTeX |
2015 Dissecting Volatility Risks in Currency MarketsIngmar Nolte, Mark P. Taylor and Qi Xu Working Paper, Lancaster University Management School. Working paper BibTeX |
2015 Uncovering the Benefit of High-Frequency Data in Portfolio AllocationIngmar Nolte and Qi Xu Working Paper, Lancaster University Management School. Working paper BibTeX |
2013 Profiting from Mimicking Strategies in Non-Anonymous MarketsIngmar Nolte, Richard G. Payne and Michalis Vasios Working Paper, Warwick Business School. Working paper BibTeX |
2013 An MCMC Approach to Multivariate Density Forecasting: An Application to LiquidityFabian Krüger and Ingmar Nolte Working Paper, Warwick Business School. Working paper BibTeX |
2011 Where Do the Joneses Go on Vacation? Social Distance and the Influence of Online Reviews on Product SalesLeif Brandes, Ingmar Nolte and Sandra Nolte Working Paper, Warwick Business School. Working paper BibTeX |
2009 Customer Trading in the Foreign Exchange Market: Empirical Evidence from an Internet Trading PlatformSandra Lechner and Ingmar Nolte FERC Working Paper 09-01, Warwick Business School. Working paper BibTeX |
2007 Estimating High-Frequency Based (Co-) Variances: A Unified ApproachIngmar Nolte and Valeri Voev CoFE Working Paper 07/07, University of Konstanz. Working paper BibTeX |
2006 Estimating Liquidity Using Information on the Multivariate Trading ProcessKatarzyna Bien, Ingmar Nolte and Winfried Pohlmeier CoFE Working Paper 06/03, University of Konstanz. Working paper BibTeX |
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