Dynamic corporate payout smoothing: A structural vector autoregressive model
利用结构向量自回归模型和方差分解方法，研究企业净收入冲击如何通过债务和投资等渠道动态影响支付平滑，为美国金融市场企业提供实证证据。
We utilize a structural vector autoregressive (SVAR) model and a variance decomposition methodology to augment the existing cross-sectional studies on corporate payout smoothing. Initially, we incorporate the net income shocks within a multi-equation framework using panel data, thus capturing the dynamic interplay between volatility in net income and various smoothing mechanisms, specifically debt and investments. Subsequently, under dynamic models and diverse structural shocks, we employ impulse response functions to elucidate the interdependencies of smoothing channels over time. Our model is implemented on a sample of organizations operating within U.S. financial markets. We compare our findings with predictions from cross-sectional corporate payout smoothing, offering robust empirical evidence of the dynamic interaction between debt and investments as smoothing channels within the context of the net income–payout variance relationship.