activity
20162026
most citedNeural network representation of quantum systems

5 citations · 10 across the 4 of their papers we have counts for

collaborators

8 papers

q-fin.MF2026

Buying at Support: The Entry Problem under Multi-Skew Brownian Motion

Jun Maeda

We study when to buy a share that will later be sold optimally, when the price follows a geometric multi-skew Brownian motion whose skew levels model support and resistance. The re…

q-fin.PR2026

Basket implied volatility skew and stickiness

Masaaki Fukasawa, Jun Maeda, Tatsuya Ogiwara

We study the short-maturity implied volatility and the skew stickiness ratio for baskets of assets with continuous, possibly rough, stochastic volatility. The fluctuation of the in…

q-fin.MF2026

Optimal Liquidation with Support and Resistance Levels under Multi-Skew Brownian Motion

Jun Maeda

We solve the perpetual liquidation problem for a geometric multi-skew Brownian motion carrying local-time pushes upward at a support level and downward at a resistance level, a mod…

hep-th2024★ 5 cited

Neural network representation of quantum systems

Koji Hashimoto, Yuji Hirono, Jun Maeda +1

It has been proposed that random wide neural networks near Gaussian process are quantum field theories around Gaussian fixed points. In this paper, we provide a novel map with whic…

q-fin.TR2021

The Support and Resistance Line Method: An Analysis via Optimal Stopping

Vicky Henderson, Saul Jacka, Ruiqi Liu +1

We study a mathematical model motivated by the support/resistance line method in technical analysis where the underlying stock price transitions between three states of nature in a…

math.OC2017★ 2 cited

Evaluation of the Rate of Convergence in the PIA

Jun Maeda, Saul D. Jacka

Folklore says that Howard's Policy Improvement Algorithm converges extraordinarily fast, even for controlled diffusion settings. In a previous paper, we proved that approximations…

q-fin.MF2017★ 1 cited

An Optimal Stopping Problem Modeling Technical Analysis

Jun Maeda, Saul D. Jacka

We present a solution to an optimal stopping problem for a process with a wide-class of novel dynamics. The dynamics model the support/resistance line concept from financial techni…

q-fin.PR2016★ 2 cited

A Market Driver Volatility Model via Policy Improvement Algorithm

Jun Maeda, Saul D. Jacka

In the over-the-counter market in derivatives, we sometimes see large numbers of traders taking the same position and risk. When there is this kind of concentration in the market,…