Three Essays on Financial Macroeconomics PDF Download
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Author: Drew Donald Saunders
Publisher:
ISBN:
Category : Default (Finance)
Languages : en
Pages :
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Author: Drew Donald Saunders
Publisher:
ISBN:
Category : Default (Finance)
Languages : en
Pages :
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Author: David Henry Bowman
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Category :
Languages : en
Pages : 230
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Author: Amir Tayebi
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Category : Consumer credit
Languages : en
Pages : 0
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Author: Enrique Martinez-Garcia
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Category :
Languages : en
Pages : 198
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Author: Farooq Malik
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Category : Canada
Languages : en
Pages : 278
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Author:
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Category :
Languages : en
Pages : 0
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Author: Xuetao Song
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Category :
Languages : en
Pages : 127
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Author: Jose Vicente Martinez
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Category :
Languages : en
Pages : 294
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Author: Yongjun Kim
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Category :
Languages : en
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Author: Adrien Alvero
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Languages : en
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In the third chapter, "Fuzzy Bunching", we introduce a new fuzzy bunching approach that is robust to noise. The existing bunching approach identifies the extent of bunching from a sharp spike in the probability density function. In many finance settings, however, the sharp spike could be diffused by data noise. The key idea behind our fuzzy bunching estimator is to identify bunching from the area of a bulge in the cumulative distribution function. The fuzzy bunching approach also avoids density estimation, which makes it easy to implement in sparse data. We provide the theoretical foundation of this approach and illustrate the advantages by using simulated and real data.
