Librarian View
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20210505141032.0
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210413s2021 gw | o |||| 0|eng d
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9783030712426
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7
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10.1007/978-3-030-71242-6
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doi
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(DE-He213)978-3-030-71242-6
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HD61
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Le, Thi.
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author.
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aut
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http://id.loc.gov/vocabulary/relators/aut
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0
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Analysing Intraday Implied Volatility for Pricing Currency Options
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[electronic resource] /
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by Thi Le.
250
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1st ed. 2021.
264
1
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Cham :
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Springer International Publishing :
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Imprint: Springer,
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2021.
300
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1 online resource (XXVIII, 350 p.) 3 illus.
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text
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txt
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rdacontent
337
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computer
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c
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rdamedia
338
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online resource
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cr
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rdacarrier
347
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text file
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PDF
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rda
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1
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Contributions to Finance and Accounting,
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2730-6038
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0
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Chapter 1. Introduction of Thesis -- Chapter 2. Literature Review -- Chapter 3. Methodology and Data -- Chapter 4. Implied Volatility Forecasting Realized Volatility -- Chapter 5. Implied Volatility Estimating Currency Options Price -- Chapter 6. Conclusion of Thesis.
506
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Access restricted by licensing agreement.
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This book focuses on the impact of high-frequency data in forecasting market volatility and options price. New technologies have created opportunities to obtain better, faster, and more efficient datasets to explore financial market phenomena at the most acceptable data levels. It provides reliable intraday data supporting financial investment decisions across different assets classes and instruments consisting of commodities, derivatives, equities, fixed income and foreign exchange. This book emphasises four key areas, (1) estimating intraday implied volatility using ultra-high frequency (5-minutes frequency) currency options to capture traders' trading behaviour, (2) computing realised volatility based on 5-minute frequency currency price to obtain speculators' speculation attitude, (3) examining the ability of implied volatility to subsume market information through forecasting realised volatility and (4) evaluating the predictive power of implied volatility for pricing currency options. This is a must-read for academics and professionals who want to improve their skills and outcomes in trading options.
590
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Access is available to the Yale community.
650
0
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Risk management.
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Big data.
650
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Capital market.
650
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Bank marketing.
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2
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SpringerLink (Online service)
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0
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Springer ENIN.
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0
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Springer Nature eBook
776
0
8
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Printed edition:
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9783030712419
776
0
8
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Printed edition:
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9783030712433
776
0
8
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Printed edition:
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9783030712440
830
0
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Contributions to Finance and Accounting,
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2730-6038
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0
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yulint
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None
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Online resource
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8
0
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Online resource
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Online book
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https://yale.idm.oclc.org/login?URL=https://doi.org/10.1007/978-3-030-71242-6
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HD61
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Yale Internet Resource
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Yale Internet Resource >> None|DELIM|15778304
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online resource
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2021-05-05T14:10:32.000Z
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DO NOT EDIT. DO NOT EXPORT.
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https://doi.org/10.1007/978-3-030-71242-6