The International Econometric Conference of Vietnam (ECONVN2026)
The regularization of Ordinary Least Squares (OLS) in parametric, linear, and discrete-time regression models has been attained a reasonable level, particularly with the adoption of Empirical Bayes Maximum Likelihood (ML) methods, enabling more credible empirical research. The next challenge in this field is to regularize Maximum Likelihood Estimation (MLE) for nonparametric, non-linear, and continuous-time data in general regression models. In this context, the Sieves Estimation Method, introduced by U. Grenander (1981), has emerged as a promising approach for regularizing MLE. As research progresses, this method has demonstrated its robustness when coupled with Wasserstein metrics from Optimal Transport Theory, particularly in general regression models and unsupervised machine learning.
The ECONVN2026 conference aims to present the Grenander Estimation Method of Sieves and explores its current state-of-the-art applications. The ECONVN2026 invites papers that delve into the theoretical development, implementation, and application of Sieves Estimation Method in economic regression models and related topics. The Conference aims to enhance collective insights into sustainability in Asian economies, particularly with regard to the role of the Asian banking and financial systems.
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn-2026/call-for-paper-204.html
The Eighth International Econometric Conference of Vietnam (ECONVN2025)
Undoubtedly, Artificial intelligence (AI) and machine learning (ML) play an increasingly important role in the fourth industrial revolution. These technologies have been developed and employed extensively in various disciplines, especially in econometrics and their implications for economics and finance. On the other hand, we have been facing an urgent need to regulate the use of AI/ML to promote and manage associated risks globally. These are the key reasons for the Ho Chi Minh University of Banking (HUB) to hold the Eighth International Econometric and Financial Conference of Vietnam (ECONVN2025) with the main theme of “Artificial Intelligence and Machine Learning for Econometrics: Applications and Regulation (and Related Topics)”. Selected papers will be published in the Springer series “Studies in Systems, Decision, and Control” (Scopus, DBLP, WTI Frankfurt eG, zbMATH, SCImago) and will be submitted for consideration in Web of Science (ISI).
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2025-567.html
The Seventh International Econometric Conference of Vietnam (ECONVN2024)
The Seventh International Econometric and Financial Conference of Vietnam (ECONVN2024) aims to address the latest ideas and developments in econometrics for economics and related topics, emphasising the benefits and challenges of using partially identified models in empirical research. Selected papers will be published in the Springer series “Studies in Systems, Decision, and Control” (Scopus, DBLP, WTI Frankfurt eG, zbMATH, SCImago) and will be submitted for consideration in Web of Science (ISI).
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2024-555.html
The Sixth International Econometric Conference of Vietnam (ECONVN2023)
The main theme of the sixth conference ECONVN2023 is “Optimal Transport Statistics for Economics and Related Topics”. Selected papers will be published in the Springer series “Studies in Systems, Decision, and Control” (Scopus, DBLP, WTI Frankfurt eG, zbMATH, SCImago) and will be submitted for consideration in Web of Science (ISI).
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2023-511.html
The Fifth International Econometric Conference of Vietnam (ECONVN2022)
The main theme of the fifth conference is “Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics”. Selected papers will be published in the Springer Series “Studies in Systems, Decision, and Control” (Scopus) and will be considered for ISI. This theme is motivated by the need to go beyond traditional frequency-based probabilistic techniques, the need that comes on several levels. On the level of macro-economics, this need comes from the fact that in many practical situations, we do not have enough data to reliably deduce frequencies. So, it is necessary to supplement the data with expert estimates and in the probabilistic framework, this means using Bayesian approach. On the other hand, on the level of micro-economics, where we study individuals that form the economics milieu, behavioral economics has shown that individuals’ behavior cannot be accurately described by the traditional probabilistic models, we need to use more general techniques and quantum ideas are an example of such general techniques that have been successfully used to describe this behavior. So, this conference aims at bringing together researchers in financial econometrics for an opportunity to present and discuss theoretical and applied issues related to Bayesian and quantum approaches, as well as to foster research collaboration. While the theme is the focus of the conference, all other research in economics, especially in finance and banking, are welcome.
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2022-475.html
The Fourth International Econometric Conference of Vietnam (ECONVN2021)
The 4th Conference ECONVN2021 under the theme “Prediction and Causality in Econometrics and Related Topics” aims at connecting together researchers in Econometrics and Finance for an opportunity to present and discuss theoretical and applied issues as well as to foster research collaboration.
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2021-418.html
The Third International Econometric Conference of Vietnam (ECONVN2020)
The theme arises at a critical moment where the huge amount of available data and a drastic increase in the computer speed necessitate the need for new methods capable of reliable processing all this data, extracting useful information from it, and making recommendations based on this information.
While the theme is the focus of the conference, all other research in economics, especially in finance and banking, are welcome.
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2020-388.html
The Second International Econometric Conference in Vietnam (ECONVN2019)
The theme arises at a critical moment where, starting at the dawn of this century, there are serious concerns about the way statistics was used in analyzing economic data for real-world applications, exemplided by the misuse of P-values in hypothesis testing, the confusion between fitting data and prediction (“to explain or to predict”), the potential contribution of machine learning to statistical analysis, the problem of modeling structural changes in data, and, in view of the 2017 Nobel Prize in Economics for Behavioral Economics, a fresh look at cognitive decision-making, affecting predictive modeling of financial data, in particular, namely extending traditional von Neumann’s expected utility theory (for economic equilibria) to a more realistic framework in which non-additivity and non-commutativity of uncertainty measures can be captured (a promising approach is the use of “quantum-like probability”).
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2019-273.html
The First International Econometric Conference of Vietnam (ECONVN2018)
The conference encourages all theoretical, methodological and empirical papers relevant to following topics: Macroeconomics and international economics; Monetary and exchange rate policies; Money market and capital market; Risk management and commercial banks; Public and Corporate finance; Accounting and auditing; Asset Price Dynamics, Volatility, and Prediction.
More Information: https://hcm-hn.conference-econ-buh-bav-rist.vn/econvn/econvn2018-272.html