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Record Nr. |
UNINA9910512180003321 |
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Autore |
Jansen Silke |
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Titolo |
Demystifying Bilingualism : How Metaphor Guides Research towards Mythification / / by Silke Jansen, Sonja Higuera del Moral, Jessica Stefanie Barzen, Pia Reimann, Markus Opolka |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 Online-Ressource (376 Seiten) |
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Disciplina |
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Soggetti |
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Multilingualism |
Psycholinguistics |
Knowledge, Sociology of |
Philology |
Psycholinguistics and Cognitive Lingusitics |
Sociology of Knowledge and Discourse |
Languages |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Introduction -- Chapter 2: Historical development and state of the art in research on the bilingual advantage -- Chapter 3: Unravelling language myths in academic discourse: Methodological considerations -- Chapter 4: Languages as objects, substances, and containers: The ontological foundations of language myths -- Chapter 5: National narratives as language myths: The metonymic conflation of languages, speakers and nations -- Chapter 6: Mind and language between the organic and the anorganic -- Chapter 7: The survival of the fittest: contention as the leading metaphor in understanding bilingualism -- Chapter 8: Deconstructing the "bilingual advantage": The fallacies of metaphorical thinking in science -- Chapter 9: Conclusion. . |
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Sommario/riassunto |
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This book analyses changing views on bilingualism in Cognitive Psychology and explores their socio-cultural embeddedness. It offers a |
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new, innovative perspective on the debate on possible cognitive (dis)advantages in bilinguals, arguing that it is biased by popular "language myths", which often manifest themselves in the form of metaphors. Since its beginnings, Cognitive Psychology has consistently modelled the coexistence between languages in the brain using metaphors of struggle, conflict and competition. However, an ideological shift from nationalist and monolingual ideologies to the celebration of bilingualism under multicultural and neoliberal ideologies in the course of the 20th century fostered opposing interpretations of language coexistence in the brain and its effects on bilinguals at different moments in time. This book will be of interest to students and scholars of Cognitive Psychology, Psycholinguistics, Multilingualism and Applied Linguistics, Cognitive and Computational Linguistics, and Critical Metaphor Analysis. Silke Jansen is Professor and Chair of Romance Philology (especially Linguistics) at Friedrich-Alexander Universität Erlangen-Nürnberg, Germany. She specializes in sociolinguistics, language contact, and linguistic ideologies, with a focus on Latin America and the Caribbean. Sonja Higuera del Moral is a PhD student at Friedrich-Alexander Universität Erlangen-Nürnberg, Germany. She is currently working on her PhD thesis on multilingual repertoires and language management skills of Hispanic migrants in Germany. Jessica Stefanie Barzen is a Research Assistant at Mannheim University, Germany. She graduated from Friedrich-Alexander Universität Erlangen-Nürnberg with a Doctor's degree in linguistics, focusing on language contact and multilingualism. She has engaged in international research, study, and instruction in the US, Cuba, the Dominican Republic, and Haiti. Pia Reimann graduated from Friedrich-Alexander Universität Erlangen-Nürnberg, Germany with a Master's degree in linguistics, focusing on language acquisition and multilingualism. As a visiting scholar at the Pennsylvania State University, USA, she gained further experience by studying experimental psycholinguistic approaches. Markus Opolka is a software developer and system administrator with more than 10 years of professional experience in open-source technology. He has studied Computational Linguistics and Romance Philology at Friedrich-Alexander Universität Erlangen-Nürnberg, Germany. |
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2. |
Record Nr. |
UNINA9910827455103321 |
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Autore |
Garcia Joao |
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Titolo |
The art of credit derivatives : demystifying the black swan / / Joao Garcia and Serge Goossens |
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Pubbl/distr/stampa |
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Chichester, West Sussex, : Wiley, c2010 |
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ISBN |
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9786613371805 |
9781119206620 |
1119206626 |
9781283371803 |
1283371804 |
9780470687192 |
0470687193 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (266 p.) |
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Collana |
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The Wiley Finance Series ; ; v.572 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Credit derivatives |
Portfolio management |
Securities |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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The Art of Credit Derivatives: Demystifying the Black Swan; Contents; About the Authors; Acknowledgements; Preface; List of Tables; List of Figures; 1 Introduction; PART I MODELING FRAMEWORK; 2 Default Models; 2.1 Introduction; 2.2 Default; 2.3 Default Models; 3 Modeling Dependence with Copulas; 3.1 Introduction; 3.2 Copula; 3.3 Using Copulas in Practice and Factor Analysis; PART II SINGLE NAME CORPORATE CREDIT DERIVATIVES; 4 Credit Default Swaps; 4.1 Introduction; 4.2 Credit Default Swap: A Description; 4.3 Modeling CDSs; 4.4 Calibrating the Survival Probability; 4.5 2008 Auction Results |
4.6 The Big Bang Protocol5 Pricing Credit Spread Options: A 2-factor HW-BK Algorithm; 5.1 Introduction; 5.2 The Credit Event Process; 5.3 Credit Spread Options; 5.4 Hull-White and Black-Karazinsky Models; 5.5 Results; 5.6 Conclusion; 6 Counterparty Risk and Credit Valuation Adjustment; 6.1 Introduction; 6.2 Valuation of the CVA; 6.3 Monte Carlo Simulation for CVA on CDS; 6.4 Semi-analytic Correlation Model; |
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6.5 Numerical Results; 6.6 CDS with Counterparty Risk; 6.7 Counterparty Risk Mitigation; 6.8 Conclusions; PART III MULTINAME CORPORATE CREDIT DERIVATIVES; 7 Collateralized Debt Obligations |
7.1 Introduction7.2 A Brief Overview of CDOs; 7.3 Cash versus Synthetic CDOs; 7.4 Synthetic CDOs and Leverage; 7.5 Concentration, Correlation and Diversification; 8 Standardized Credit Indices; 8.1 Introduction; 8.2 Credit Default Swap Indices; 8.3 Standardization; 8.4 iTraxx, CDX and their Tranches; 8.5 Theoretical Fair Spread of Indices; 9 Pricing Synthetic CDO Tranches; 9.1 Introduction; 9.2 Generic 1-Factor Model; 9.3 Implied Compound and Base Correlation; 10 Historical Study of Lévy Base Correlation; 10.1 Introduction; 10.2 Historical Study; 10.3 Base Correlation; 10.4 Hedge Parameters |
10.5 Conclusions11 Base Expected Loss and Base Correlation Smile; 11.1 Introduction; 11.2 Base Correlation and Expected Loss: Intuition; 11.3 Base Correlation and Interpolation; 11.4 Base Expected Loss; 11.5 Interpolation; 11.6 Numerical Results; 11.7 Conclusions; 12 Base Correlation Mapping; 12.1 Introduction; 12.2 Correlation Mapping for Bespoke Portfolios; 12.3 Numerical Results; 12.4 Final Comments; 13 Correlation from Collateral to Tranches; 13.1 Introduction; 13.2 Generic 1-Factor Model; 13.3 Monte Carlo Simulation and Importance Sampling; 13.4 Gaussian Copula Tranche Loss Correlations |
13.5 Lévy Copula Tranche Loss Correlations13.6 Marshall-Olkin Copula Tranche Loss Correlations; 13.7 Conclusions; 14 Cash Flow CDOs; 14.1 Introduction; 14.2 The Waterfall of a Cash Flow CDO; 14.3 BET Methodology; 14.4 Results; 14.5 AIG and BET; 14.6 Conclusions; 15 Structured Credit Products: CPPI and CPDO; 15.1 Introduction; 15.2 Multivariate VG Modeling; 15.3 Swaptions on Credit Indices; 15.4 Model Calibration; 15.5 CPPI; 15.6 CPDO; 15.7 Conclusion; PART IV ASSET BACKED SECURITIES; 16 ABCDS and PAUG; 16.1 Introduction; 16.2 ABCDSs versus Corporate CDSs; 16.3 ABCDS Pay As You Go: PAUG |
16.4 Conclusion |
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Sommario/riassunto |
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Credit derivatives have been instrumental in the recent increase in securitization activity. The complex nature and the size of the market have given rise to very complex counterparty credit risks. The Lehman failure has shown that these issues can paralyse the financial markets, and the need for detailed understanding has never been greater. The Art of Credit Derivatives shows practitioners how to put a framework in place which will support the securitization activity. By showing the models that support this activity and linking them with very practical examples, the aut |
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