This paper uses dynamic impulse response analysis to investigate the i
nterrelationships among stock price volatility, trading volume, and th
e leverage effect. Dynamic impulse response analysis is a technique fo
r analyzing the multi-step-ahead characteristics of a nonparametric es
timate of the one-step conditional density of a strictly stationary pr
ocess. The technique is the generalization to a nonlinear process of S
ims-style impulse response analysis for linear models. In this paper,
we refine the technique and apply ii to a long panel of daily observat
ions on the price and trading volume of four stocks actively traded on
the NYSE: Boeing, Coca-Cola, IBM, and MMM.