数理ファイナンスセミナー

Math-Fi seminar on 31 May

2018.05.29 Tue up
  • Date: 31 May (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Daisuke Shiraishi (Kyoto University)
  • Title: Natural parametrization for loop-erased random walk in three dimensions

Math-Fi seminar on 24 May

2018.05.21 Mon up
  • Date: 24 May (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Benjamin Poignard (Osaka University)
  • Title: Non-Asymptotic Properties of Regularized Multivariate ARCH models
  • Abstract:
We provide finite sample properties of regularized multivariate ARCH processes, where the linear representation of ARCH models allows for an ordinary least square estimation. Under the restricted strong convexity of the unpenalized loss function, regularity conditions on the regularizer, strict stationary and beta-mixing process, we prove non-asymptotic error bounds on the regularized ARCH estimators. Moreover, based on the primal-dual witness method, we establish variable selection consistency, including the case when the regularizer is non-convex. These theoretical results are supported by simulation studies. 

Math-Fi seminar on 26 Apr.

2018.04.26 Thu up
  • Date: 26 Apr. (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Keita Owari (Ritsumeikan University)
  • Title: Introduction to Duality Theory for Locally Convex Spaces
 

Math-Fi seminar on 19 Apr.

2018.04.16 Mon up
  • Date: 19 Apr. (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Giulia Livieri (SNS Pisa)
  • Title: Statistical inference for price staleness
  • Abstract:
Asset prices recorded at a high frequency are more sluggish than implied by the semi-martingale hypothesis. 
We propose a new general framework formalizing this phenomenon. We provide a limit theory for Idle-time (an economic indicator for price flatness) and related quantities. This allows to quantify the level of staleness in an asset price adjustment and to test two different hypothesis. First, whether the extent of sluggishness is constant or time-varying. Second, whether the sluggishness is persistent. The empirical application on US stocks provides the evidence that stock price flatness is both time-varying and persistent, especially during the crisis.
 

Math-Fi seminar on 12 Apr.

2018.04.09 Mon up
  • Date: 12 Apr. (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Yuuki Semba (Ritsumeikan Univeristy)
  • Title: Reinforced Random Walk
 

Math-Fi seminar on 5 Apr.

2018.04.02 Mon up
  • Date: 5 Apr. (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Xunyu Zhou (Columbia University)
  • Title: Time Inconsistency, Self Control and Portfolio Choice 
  • ​Abstract: 
Time inconsistency arises when one’s preferences are not aligned over time; thus time-inconsistent dynamic control is essentiallya self control problem.
In this talk I will introduce several classes of time-inconsistent dynamic optimisation problems together with their economic motivations, and highlight the ways to address the time inconsistency.
I will then provide a solution to a continuous-time portfolio choice model under the rank-dependent utility which is inherently time inconsistent.

Math-Fi seminar on 8 Mar.

2018.03.08 Thu up
  • Date: 8 Mar. (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Go Yuki (Ritsumeikan University)
 

Math-Fi seminar on 15 Feb.

2018.02.14 Wed up
  • Date: 15 Feb. (Thu.)
  • Place: W.W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Ngoc Khue Tran(Pham Van Dong University )
  • Title: Local asymptotic properties for CIR process and a jump-type CIR process
  • Abstract: 
​In the first part of this talk, we consider a Cox-Ingersoll-Ross (CIR) process whose drift coefficient depends on unknown parameters. Considering the process discretely observed at high frequency, we prove the local asymptotic normality (LAN) property in the subcritical case, the local asymptotic quadraticity (LAQ) in the critical case, and the local asymptotic mixed normality (LAMN) property in the supercritical case. To obtain these results, we use the Malliavin calculus techniques developed recently for CIR process by Alòs et al. and Altmayer et al.  together with the $L^p$-norm estimation for positive and negative moments of the CIR process obtained by Bossy et al. and Ben Alaya et al.
In the second part, we will discuss the local asymptotic properties for a jump-type CIR process driven by a Brownian motion and a subordinator, whose growth rate is a unknown parameter. LAN is proved in the subcritical case, LAQ is derived in the critical case, and LAMN is shown in the supercritical case. This is a joint work with Mohamed Ben Alaya, Ahmed Kebaier and Gyula Pap.

Math-Fi seminar on 25 Jan.

2018.01.17 Wed up
  • Date: 25 Jan.(Thu.)
  • Place: W. W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Yuichi Shiozawa (Osaka university)
  • Title: Upper rate functions of Brownian motion type for symmetric jump processes
  • ​Abstract: 
本講演の内容は Jian Wang 氏 (Fujian Normal University) との共同研究に基づく．
実軸上の対称レビ過程に対して，分散が有限ならば重複対数の法則が成立する (Gnedenko 1943)．
この事実に動機付けられて，正則ディリクレ形式から生成される（ユークリッド空間上の）飛躍型対称マルコフ過程について，upper rate function が重複対数型（ブラウン運動型）になるための条件を調べる．
ここで upper rate function とは，粒子の空間内での広がりの程度を表す関数のことであり，保存性の定量的表現にあたる．
本講演では，ディリクレ形式の飛躍関数の2次モーメントが有界になるような条件の下で，upper rate function が重複対数型になることを紹介する．
証明の過程で，飛躍型対称マルコフ過程に対応する熱核の長時間挙動を解析するので，このことについても解説する．

Math-Fi seminar on 18 Jan.

2018.01.16 Tue up
  • Date: 18 Jan.(Thu.)
  • Place: W. W. 6th-floor, Colloquium Room
  • Time: 16:30-18:00
  • Speaker: Takanori Adachi (Ritsumeikan university)
  • Title: アルゴリズム取引って何だろう？
  • Abstract: 
​コンピュータ・プログラムを使って自動的に株などの取引を行う手法をアルゴリズム取引といいます．
中でも，特に高速に取引をおこなうものは，高頻度取引あるいは HFT と呼ばれています．
こうした取引は，従来の人手で行ってきた取引とは違い，コンピュータと数学を駆使して行われます．
本講演では，学部生の皆さんにも興味を持ってもらえるように，投資の肝の解説から初めて，アルゴ・ビジネス (アルゴリズム取引を使ったビジネス) の現状を概観します．
さらにビジネスの基本になる投資戦略とアルファ（利益の源泉）について，それらを自動化して扱うためにどのような技術が使われているかを解説します．
その後，時間が許せば，機械学習の技術を使ってアルファを探索する可能性について議論し，人工知能のプレゼンスが増すであろうアルゴリズム取引の未来について考えてみます．

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