activity
20182023
most citedDeep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model

9 citations · 12 across the 4 of their papers we have counts for

collaborators

10 papers

q-fin.PM2023

Doubly Robust Mean-CVaR Portfolio

Kei Nakagawa, Masaya Abe, Seiichi Kuroki

In this study, we address the challenge of portfolio optimization, a critical aspect of managing investment risks and maximizing returns. The mean-CVaR portfolio is considered a pr…

quant-ph2023

A New Initial Distribution for Quantum Generative Adversarial Networks to Load Probability Distributions

Yuichi Sano, Ryosuke Koga, Masaya Abe +1

Quantum computers are gaining attention for their ability to solve certain problems faster than classical computers, and one example is the quantum expectation estimation algorithm…

q-fin.PM2022

Schrödinger Risk Diversification Portfolio

Yusuke Uchiyama, Kei Nakagawa

The mean-variance portfolio that considers the trade-off between expected return and risk has been widely used in the problem of asset allocation for multi-asset portfolios. Howeve…

stat.ME2021

Controlling False Discovery Rates under Cross-Sectional Correlations

Junpei Komiyama, Masaya Abe, Kei Nakagawa +1

We consider controlling the false discovery rate for testing many time series with an unknown cross-sectional correlation structure. Given a large number of hypotheses, false and m…

q-fin.PM2020

Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management

Masaya Abe, Kei Nakagawa

Stock price prediction has been an important research theme both academically and practically. Various methods to predict stock prices have been studied until now. The feature that…

q-fin.ST20203 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…