On the Design and Development of a Novel Real-Time Transaction Price Estimation System

Abstract

In global open economy, transaction price estimation is an important issue in finance under stock price fluctuation. However, the transaction price is depend on the investors’ expect price which is difficult to be captured in used and implemented models for transaction price estimation. Therefore, this paper proposes the Transaction Price Estimation Model (TPEM) and designs a novel Real-time Transaction Price Estimation System (RTPES) which adopts the TPEM based on the efficient market hypothesis to estimate the investors’ expect price. In experiments, the simulation results show that the average accuracy of TPEM is 99.37%. This approach is feasible for stock investment decision-making.

Economics of Electric Vehicle Charging: A Game Theoretic Approach

“…In a PSO scheme, a group of random solutions 11 (i.e., particles) are scattered over the search space, and the particles converge to a near optimal solution after a number of iterations. For the PSO algorithm, the particle size is 10 We assume that the initial price is chosen based on statistical estimation such as in [38], so that the grid can maintain a revenue with optimized price as the grid capacity increases. 11 In this case the energy demand of a PEVG.…”