Transmission Channels of Financial Shocks to Stock, Bond, and Asset-Backed Markets: An Empirical Model
Autor Massimo Guidolin, Viola Fabbrini, Manuela Pedioen Limba Engleză Hardback – 12 noi 2015
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Specificații
ISBN-13: 9781137561381
ISBN-10: 1137561386
Pagini: 131
Ilustrații: X, 131 p.
Dimensiuni: 140 x 216 x 13 mm
Greutate: 0.33 kg
Ediția:1st ed. 2016
Editura: Palgrave Macmillan UK
Colecția Palgrave Macmillan
Locul publicării:London, United Kingdom
ISBN-10: 1137561386
Pagini: 131
Ilustrații: X, 131 p.
Dimensiuni: 140 x 216 x 13 mm
Greutate: 0.33 kg
Ediția:1st ed. 2016
Editura: Palgrave Macmillan UK
Colecția Palgrave Macmillan
Locul publicării:London, United Kingdom
Notă biografică
Viola Fabbrini has collaborated as a researcher with Bocconi University, Italy, and she is a mergers and acquisition advisor in the US.
Massimo Guidolin is Professor of Finance at Bocconi University and Director of Bocconi's FT-ranked MSc in Finance, where he teaches courses in financial econometrics, portfolio selection and asset pricing at a graduate level. His research has been published in internationally-refereed outlets such as the American Economic Review, the Journal of Econometrics, the Journal of Financial Economics, and the Review of Financial Studies.
Manuela Pedio collaborates as a researcher with Bocconi University and has experience as an analyst in derivatives sales and trading. She is the winner of the 2014 UniCredit European Award for the Best Research Paper.
Massimo Guidolin is Professor of Finance at Bocconi University and Director of Bocconi's FT-ranked MSc in Finance, where he teaches courses in financial econometrics, portfolio selection and asset pricing at a graduate level. His research has been published in internationally-refereed outlets such as the American Economic Review, the Journal of Econometrics, the Journal of Financial Economics, and the Review of Financial Studies.
Manuela Pedio collaborates as a researcher with Bocconi University and has experience as an analyst in derivatives sales and trading. She is the winner of the 2014 UniCredit European Award for the Best Research Paper.