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Resampling Asset Prices: An Identity-Based Approach [Mīkstie vāki]

(Federal Reserve Bank of New York), (Federal Reserve Bank of Atlanta)
  • Formāts: Paperback / softback, 94 pages, weight: 166 g, Worked examples or Exercises
  • Sērija : Elements in Quantitative Finance
  • Izdošanas datums: 23-Apr-2026
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1009738372
  • ISBN-13: 9781009738378
Citas grāmatas par šo tēmu:
  • Formāts: Paperback / softback, 94 pages, weight: 166 g, Worked examples or Exercises
  • Sērija : Elements in Quantitative Finance
  • Izdošanas datums: 23-Apr-2026
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1009738372
  • ISBN-13: 9781009738378
Citas grāmatas par šo tēmu:
The authors introduce a novel bootstrap approach to resampling asset price data that can be used for both finite-maturity assets and equities. The key insight is that they bootstrap primitive objects with more appealing statistical properties to avoid resampling series with strong time-series and cross-sectional dependence. They then recover the original dependence structure in an internally consistent manner via definitional identities. Their bootstrap is nonparametric in nature and so avoids the common practice of committing to a tightly parameterized pricing model with explicit assumptions on the form of cross-sectional and time-series dependence. They demonstrate the appealing finite-sample properties of their bootstrap approach in a series of simulation experiments and empirical applications.

Papildus informācija

This Element introduces a novel bootstrap approach to resampling asset price data for both finite-maturity assets and equities.
1. Introduction;
2. Nominal Yield Curves;
3. Nominal and Real Yield
Curves;
4. Equities;
5. Epilogue; List of Notation and Abbreviations.