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03613nam a22004935i 4500 |
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978-3-319-29094-2 |
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|a 9783319290942
|9 978-3-319-29094-2
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|a 10.1007/978-3-319-29094-2
|2 doi
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|a HB135-147
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|a 519
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|a Leung, Tim.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Leveraged Exchange-Traded Funds
|h [electronic resource] :
|b Price Dynamics and Options Valuation /
|c by Tim Leung, Marco Santoli.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a X, 97 p. 32 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Quantitative Finance,
|x 2192-7006
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|a Introduction -- Price Dynamics of Leveraged ETFs -- Risk Analysis of Leveraged ETFs -- Options on Leveraged ETFs -- Conclusions.
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|a This book provides an analysis, under both discrete-time and continuous-time frameworks, on the price dynamics of leveraged exchange-traded funds (LETFs), with emphasis on the roles of leverage ratio, realized volatility, investment horizon, and tracking errors. This study provides new insights on the risks associated with LETFs. It also leads to the discussion of new risk management concepts, such as admissible leverage ratios and admissible risk horizon, as well as the mathematical and empirical analyses of several trading strategies, including static portfolios, pairs trading, and stop-loss strategies involving ETFs and LETFs. The final part of the book addresses the pricing of options written on LETFs. Since different LETFs are designed to track the same reference index, these funds and their associated options share very similar sources of randomness. The authors provide a no-arbitrage pricing approach that consistently value options on LETFs with different leverage ratios with stochastic volatility and jumps in the reference index. Their results are useful for market making of these options, and for identifying price discrepancies across the LETF options markets. As the market of leveraged exchange-traded products become a sizeable connected part of the financial market, it is crucial to better understand its feedback effect and broader market impact. This is important not only for individual and institutional investors, but also for regulators.
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|a Economics, Mathematical .
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|a Macroeconomics.
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|a Quantitative Finance.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M13062
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|a Macroeconomics/Monetary Economics//Financial Economics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/W32000
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|a Santoli, Marco.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319290928
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|i Printed edition:
|z 9783319290935
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|a SpringerBriefs in Quantitative Finance,
|x 2192-7006
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|u https://doi.org/10.1007/978-3-319-29094-2
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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