This paper proposes a novel approach to the portfolio management using an AutoEncoder.In particular, the features learned by an AutoEncoder with ReLU are directly exploited to the portfolio construction.Since the AutoEncoder extracts the characteristics of the data through the non-linear...

This paper explores Bitcoin intraday technical trading based on artificial neural networks for the return prediction. In particular, our deep learning method successfully discovers trading signals through a seven layered neural network structure for given input data of technical indicators,...

This paper proposes a new fuzzy logic (FL)-based expert system with particle filtering and anomaly detection to create high-performance investment portfolios. In particular, our FL system selects a portfolio with fine risk-return profiles from a number of candidates by integrating multilateral...

This paper proposes a generalized exponential moving average (EMA) model, a new stochastic volatility model with time-varying expected return in financial markets. In particular, we effectively apply a particle filter (PF) to sequential estimation of states and parameters in a state space...

This paper proposes a framework of robust technical trading with fuzzy knowledge-based systems (KBSs). Particularly, our framework consists of two modules, i.e.:(i) a module for preparing candidate investment proposals and,(ii) a module for their evaluation to construct a well-performed...

This paper proposes a new state space approach to adaptive fuzzy modeling under the dynamically changing environment, where Bayesian filtering sequentially learns parameters including model structures as state variables. Moreover with a particle filtering algorithm, our approach is widely...

This paper examines an impact of Bank of Japan (BOJ)'s outright purchase on the JGB (Japanese government bond) yield curve. Particularly, we develop a simple state space model, which incorporates new factors regarding the BOJ's announcement for its outright purchase and the current market...

This paper proposes a unified approach to creating investment strategies with various desirable properties for investors.Particularly, we provide a new interpretation and the resulting formulations for state space models to attain our investment objectives, which are possibly specified as...

This paper proposes a novel scheme for achieving high investment performances with Mean-Variance (MV) portfolios. As is well-known, MV portfolio performances largely depend on the quality of estimates of parameters, namely expected returns and covariance matrices. Particularly, easily...