Showing 1 - 10 of 11
We link investor ownership to profit loads on rival firms by the managers of a firm. We propose a theory model in which we distinguish between passive and active investors’ holdings, where passive investors are relatively more diversified. We find that if passive investors become relatively...
Persistent link: https://www.econbiz.de/10014238209
We document that overcollateralisation of banks’ secured liabilities is positively associated with the risk premium on their unsecured funding. We rationalize this finding in a theoretical model in which costs of asset encumbrance increase collateral haircuts and the endogenous risk of a...
Persistent link: https://www.econbiz.de/10013214726
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We develop a two-sided matching model to analyze collaboration between heterogeneous academics and firms. We predict a positive assortative matching in terms of both scientific ability and affinity for type of research, but negative assortative in terms of ability on one side and affinity in the...
Persistent link: https://www.econbiz.de/10013315734
We link investor ownership to profit loads on rival firms by the managers of a firm. We propose a theory model in which we distinguish between passive and active investors’ holdings, where passive investors are relatively more diversified. We find that if passive investors become relatively...
Persistent link: https://www.econbiz.de/10014244687
Persistent link: https://www.econbiz.de/10014226604
The classical binary classification problem is investigated when it is known in advance that the posterior probability function (or regression function) belongs to some class of functions. We introduce and analyze a method which effectively exploits this knowledge. The method is based on...
Persistent link: https://www.econbiz.de/10005572603
We obtain minimax lower and upper bounds for the expected distortion redundancy of empirically designed vector quantizers. We show that the mean squared distortion of a vector quantizer designed from $n$ i.i.d. data points using any design algorithm is at least $\Omega (n^{-1/2})$ away from the...
Persistent link: https://www.econbiz.de/10005772321