We investigate the stationarity of daily real stock prices in 12 Asia-Pacific countries over period 1991–2020. The methodology employed is driven by need to address three key concerns: (i) identification association between size shocks and stationarity; (ii) different speeds adjustment towards long-run equilibrium; (iii) mean reversion potential asymmetric speed before after 2008–2009 global fi...

Mean-reversion of spreads follows directly from an error correction quote adjustment process plus a random walk theory of the quote midpoint as an implicit efficient price. In such a model, buys and sells are equally likely, and the trade direction is informationless. With asymmetric information and strategic trading, however, order flow is serially correlated, and the spread incorporates a tim...

Machine Learning algorithms have a variety of important applications, and among them, Recommender systems are crucial. The internet hosts an extensive volume information, making it challenging for users to navigate find relevant content. therefore emerged as valuable tools bridge this gap. They facilitate the connection between content by offering personalized recommendations. In recent years r...

Background The natural trajectory of reversion from MCI to normal cognition (NC) and the cognitive pattern post-reversion have been poorly explored in existing literature. main goals this study were as follows: (1) quantitatively predict bidirectional transitions (reversion NC progression dementia); (2) explore patterns future changes post-reversion; (3) estimate effects selected covariates on ...

This paper provides simple approximations for evaluating option prices and implied volatilities under stochastic volatility. Simple recursive formulae are derived that can easily be implemented in spreadsheets. The traditional random walk assumption, dominating in the analysis of financial markets, is compared with mean reversion which is often more relevant in commodity markets. Deterministic ...