activity
20202022
most citedNo-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging

12 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2022

Power Laws and Symmetries in a Minimal Model of Financial Market Economy

Liu Ziyin, Katsuya Ito, Kentaro Imajo +1

A financial market is a system resulting from the complex interaction between participants in a closed economy. We propose a minimal microscopic model of the financial market econo…

q-fin.CP2021★ 12 cited

No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging

Shota Imaki, Kentaro Imajo, Katsuya Ito +2

Deep hedging (Buehler et al. 2019) is a versatile framework to compute the optimal hedging strategy of derivatives in incomplete markets. However, this optimal strategy is hard to…

q-fin.TR2020★ 6 cited

Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction

Katsuya Ito, Kentaro Minami, Kentaro Imajo +1

Investors try to predict returns of financial assets to make successful investment. Many quantitative analysts have used machine learning-based methods to find unknown profitable m…

q-fin.PM2020★ 1 cited

Deep Portfolio Optimization via Distributional Prediction of Residual Factors

Kentaro Imajo, Kentaro Minami, Katsuya Ito +1

Recent developments in deep learning techniques have motivated intensive research in machine learning-aided stock trading strategies. However, since the financial market has a high…

q-fin.ST2020★ 3 cited

NAPLES;Mining the lead-lag Relationship from Non-synchronous and High-frequency Data

Katsuya Ito, Kei Nakagawa

In time-series analysis, the term "lead-lag effect" is used to describe a delayed effect on a given time series caused by another time series. lead-lag effects are ubiquitous in pr…