We present a theory of homogeneous volatility bridge estimators for log-price stochastic processes. The main tool of … our theory is the parsimonious encoding of the information contained in the open, high and low prices of incomplete bridge …

classification problem and, thus, can be solved with machine learning methods. Using simulated seasonal and non-seasonal ARIMA …

estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic …

macroeconomic models in which agents are boundedly rational and use an adaptive learning rule to form expectations of the endogenous … estimate it empirically. Two prominent learning algorithms are considered, namely constant gain and decreasing gain learning …. For each of the two learning rules, the analysis proceeds in two stages. First, the paper derives the asymptotic …