Showing 21 - 30 of 44
Persistent link: https://www.econbiz.de/10011317258
I revisit the Diamond-Dybvig model of liquidity insurance in the presence of hidden trades. The key result is that in this environment deposit-taking banks are not necessary for the efficient provision of liquidity. Mutual funds are constrained efficient when supplemented with the same...
Persistent link: https://www.econbiz.de/10011327337
I analyze welfare properties of mutual funds in the Diamond-Dybvig model with two sources of aggregate risk: undiversifiable interest rate risk and shocks to aggregate liquidity demand. Mutual funds are inefficient when the economy faces undiversifiable interest rate risk. However, if only...
Persistent link: https://www.econbiz.de/10011339154
We develop a framework for measuring biases in expectation formation. The basic insight is that under- and overreaction to new information is identified by the impulse response function of forecast errors. This insight leads to a simple and widely applicable measurement procedure. The procedure...
Persistent link: https://www.econbiz.de/10012899180
We develop a general framework for measuring biases in expectation formation. The method is based on the insight that biases can be inferred from the response of forecast errors to past news. Empirically, biases are measured by flexibly estimating the impulse response function of forecast...
Persistent link: https://www.econbiz.de/10011869992
Persistent link: https://www.econbiz.de/10011619593
Persistent link: https://www.econbiz.de/10011852592
Persistent link: https://www.econbiz.de/10015151263
Expectations affect economic decisions, and inaccurate expectations are costly. Expectations can be wrong due to either bias (systematic mistakes) or noise (unsystematic mistakes). We develop a framework for quantifying the level of noise in survey expectations. The method is based on the...
Persistent link: https://www.econbiz.de/10014308585
Expectations affect economic decisions, and inaccurate expectations are costly. Expectations can be wrong due to either bias (systematic mistakes) or noise (unsystematic mistakes). We develop a framework for quantifying the level of noise in survey expectations. The method is based on the...
Persistent link: https://www.econbiz.de/10014536881