############### Kyle's Lambda ############### ************** Introduction ************** `Kyle (1985) `_ Lamdba can be interpreted as the cost of demanding a certain amount of liquidity over a given time period. Following `Hasbrouck (2009) `_ and `Goyenko, Holden and Trzcinka (2009) `_, we can estimate Kyle's Lambda for stock :math:`i` as the slope coefficient :math:`\lambda_{i}` in the following regression model: .. math:: :label: kylelambda_regression r_{i,n} = \lambda_{i}\cdot S_{i,n} + \varepsilon_{i,t} where for the :math:`n`-th five-minute period, :math:`r_{i,n}` is the (percentage) stock return and :math:`S_{i,n}` is the signed square-root dollar volume, i.e., :math:`S_{i,n}=\sum_k sign(v_{k,n}) \sqrt{|v_{k,n}|}`, and :math:`v_{kn}` is the signed dollar volume of the :math:`k`-th trade in the :math:`n`-th five-minute period. ************ References ************ - `Kyle (1985) `_, Continuous Auctions and Insider Trading, *Econometrica*, 53(6), 1315–1335. - `Hasbrouck (2009) `_, Trading Costs and Returns for U.S. Equities: Estimating Effective Costs From Daily Data, *The Journal of Finance*, 64(3), 1445–1477. - `Goyenko, Holden and Trzcinka (2009) `_, Do Liquidity Measures Measure Liquidity, *Journal of Financial Economics*, 92(2), 153–181. ***** API ***** .. autofunction:: frds.measures.kyle_lambda