T. Walther
Economics and Econometrics · International Review of Financial Analysis · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 78 citations into it; #19,745 of 23,481 by trust here, #9,060 by citations
- Finance — 43 citations into it; #9,119 of 10,518 by trust here, #4,039 by citations
- Information Systems — 40 citations into it
- Management Science and Operations Research — 7 citations into it
Whom T. Walther trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paraskevi Katsiampa
- Tim Bollerslev
- Andrew J. Patton
- Robert F. Engle
- Eric Ghysels
- Eduard Baumöhl
- Ladislav Kristoufek
- Aurelio Fernández Bariviera
- Andrew Urquhart
- Tony Klein
Who trusts T. Walther overall
Papers from T. Walther's perspective
Ordered by how strongly the researchers T. Walther trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized autoregressive conditional heteroskedasticity
- What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis (PLoS ONE)
- The inefficiency of Bitcoin
- Volatility Forecast Comparison Using Imperfect Volatility Proxies
- Volatility estimation for Bitcoin: A comparison of GARCH models
- Cryptocurrency Value Formation: An Empirical Analysis Leading to a Cost of Production Model for Valuing Bitcoin (Mediterranean Conference on Information Systems)
- Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (Review of Economics and Statistics)
- Dynamic Conditional Correlation
- A Simple Approximate Long-Memory Model of Realized Volatility
- Stock Market Volatility and Macroeconomic Fundamentals (Review of Economics and Statistics)
Their papers
- Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018) — 760 citations
- Forecasting realized volatility of agricultural commodities (2020) — 54 citations
- Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting (2019) — 164 citations