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A Statistical Recurrent Stochastic Volatility Model for Stock Markets
v1v2v3 (latest)

A Statistical Recurrent Stochastic Volatility Model for Stock Markets

7 June 2019
Trong-Nghia Nguyen
Minh-Ngoc Tran
David Gunawan
Robert Kohn
ArXiv (abs)PDFHTML

Papers citing "A Statistical Recurrent Stochastic Volatility Model for Stock Markets"

7 / 7 papers shown
Title
Loss-based Bayesian Sequential Prediction of Value at Risk with a
  Long-Memory and Non-linear Realized Volatility Model
Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model
Rangika Peiris
Minh-Ngoc Tran
Chao Wang
Richard Gerlach
18
0
0
24 Aug 2024
Variational Inference for GARCH-family Models
Variational Inference for GARCH-family Models
M. Magris
Alexandros Iosifidis
117
1
0
05 Oct 2023
From Deep Filtering to Deep Econometrics
From Deep Filtering to Deep Econometrics
Robert Stok
Paul Bilokon
39
0
0
13 Sep 2023
Generalized Autoregressive Score Trees and Forests
Generalized Autoregressive Score Trees and Forests
Andrew J. Patton
Yasin Şimşek
47
3
0
30 May 2023
Bayesian Neural Networks for Macroeconomic Analysis
Bayesian Neural Networks for Macroeconomic Analysis
Niko Hauzenberger
Florian Huber
K. Klieber
Massimiliano Marcellino
BDL
81
8
0
09 Nov 2022
Estimating value at risk: LSTM vs. GARCH
Estimating value at risk: LSTM vs. GARCH
Weronika Ormaniec
Marcin Pitera
Sajad Safarveisi
Thorsten Schmidt
AIFin
48
1
0
21 Jul 2022
Statistical Deep Learning for Spatial and Spatio-Temporal Data
Statistical Deep Learning for Spatial and Spatio-Temporal Data
C. Wikle
A. Zammit‐Mangion
BDL
147
49
0
05 Jun 2022
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