A Fair Value Approach to Forecasting Value versus Growth Returns
提出一个框架，用向量误差修正模型构建价值因子相对成长因子的公允价值度量，并用于预测两者未来收益，对资产配置和风险管理有参考价值。
Relative performance of value with respect to growth has been a subject of industry debate for many years and is a cornerstone of numerous equity allocation decisions. This article presents a framework for quantifying the extent of over or undervaluation of value relative to growth and for identifying the key factors driving performance. The authors construct a fair value measure of the value factor to growth factor price-to-book ratio using prior-period ratio of price/book, 10-year trailing inflation, 10-year real Treasury yield, equity volatility, and growth of corporate profits in a vector error-correction model (VECM). This is then extended to a robust forecasting model for future value and growth returns. Upon conducting an out-of-sample value versus growth historical return forecast, the authors conclude that this method is a significant improvement over the use of historical average as a future return estimation. This methodology offers an alternative robust solution to forecasting value versus growth returns that can be further applied to asset allocation decisions and risk management.