By Yakov Amihud, Haim Mendelson, Lasse Heje Pedersen
Liquidity and Asset costs experiences the literature that reviews the connection among liquidity and asset costs. The authors overview the theoretical literature that predicts how liquidity impacts a security's required go back and talk about the empirical connection among the 2. Liquidity and Asset costs surveys the speculation of liquidity-based asset pricing by means of the empirical proof. the speculation part proceeds from easy versions with exogenous retaining sessions to those who include extra components of threat and endogenous retaining sessions. The empirical part studies the proof at the liquidity top rate for shares, bonds, and different monetary resources.
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Liquidity and Asset costs stories the literature that reviews the connection among liquidity and asset costs. The authors evaluate the theoretical literature that predicts how liquidity impacts a security's required go back and talk about the empirical connection among the 2. Liquidity and Asset costs surveys the speculation of liquidity-based asset pricing by means of the empirical proof.
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Extra resources for Liquidity and Asset Prices
3 above): 1. Expected asset return is an increasing function of illiquidity costs, and 38 Empirical Evidence 2. 3): In equilibrium, less liquid assets are allocated to investors with longer holding periods, which mitigates the compensation that they require for the costs of illiquidity. These predictions are tested using stock returns over the period 1961–1980 and data on quoted bid–ask spreads for 1960–1979. The relative spread is the ratio of the dollar spread to the stock price, where the spread is the average of the beginning- and end-of-year end-ofday quotes, collected from Fitch quote sheets for NYSE and AMEX stocks.
76). The correlations are higher for ILLIQ1/2 and for stock portfolios. 7 Hasbrouck 46 Empirical Evidence a subsample of firms that pay dividends and do not repurchase their stock, whereas in the subsample of firms that repurchase their stock and pay no dividend the return–spread relationship is positive and possibly convex, but for this group the results are not statistically significant. The papers considered so far have used liquidity measures that are based on trading costs or investors’ holding periods.
Neither is a perfect measure of liquidity, but most of these measures are highly positively correlated. These problems in the measurement of liquidity reduce the power of tests of the effect of liquidity on securities pricing. Any liquidity measure used clearly measures liquidity with an error, because (i) a single measure cannot capture all the different dimensions of liquidity, (ii) the empirically-derived measure is a noisy estimate of the true parameter, and (iii) the use of low-frequency data to create the estimates increases the measurement noise.