This paper resolves the conceptual ambiguity of real option value and derives a model using risk-adjusted discount rates that can be applied to value the option to invest in a project. The approach adopts stochastic revenue and costs which provide a general solution with the added virtue of applicability. We found the option value arises from the difference between an individual investor and th...

Stock market prediction is a long-time intriguing topic to researchers from different fields. data extremely volatile and hence laborious model. In particular, innumerable studies have been conducted predict the movement of stock using Machine Learning algorithms such as Regression Techniques, Time Series Forecasting, Indices Modelling, Natural Language Processing more, but there still room for...