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ICSFAM · Registering as Listener

International Conference on Statistical Finance, Analysis and Modeling

22 - 23 Apr 2027 Novosibirsk, Russia Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICSFAM
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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Benefits of Registering as Listener

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Conference Kit / Materials
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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICSFAM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 - Good Health and Well-being SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure
01 Statistical Methods in Financial Analysis +
This track focuses on the application of statistical methods to analyze financial data and derive insights. Participants will explore innovative techniques for modeling financial phenomena and improving decision-making in finance.
02 Econophysics and Financial Markets +
This session examines the intersection of physics and finance, particularly through the lens of econophysics. Researchers will discuss models and theories that explain market dynamics using principles from statistical physics.
03 Behavioral Finance and Statistical Approaches +
This track delves into the behavioral aspects of finance, integrating statistical methods to understand investor behavior. Presentations will highlight empirical studies and models that capture psychological factors influencing financial decisions.
04 Financial Statistics and Mathematical Finance +
This session emphasizes the role of statistical techniques in mathematical finance. Topics will include risk assessment, pricing models, and the application of statistical tools to enhance financial theories.
05 Advanced Financial Statistics and Algorithms +
This track focuses on cutting-edge statistical algorithms used in financial analysis and modeling. Participants will share insights on algorithm development and their practical applications in finance.
06 Stock Prices and Statistical Assets +
This session investigates the statistical properties of stock prices and their implications for asset management. Researchers will present methodologies for asset valuation and price prediction.
07 Extreme Value Theory in Finance +
This track explores the application of extreme value theory to financial data, particularly in assessing risks and tail events. Presentations will cover theoretical advancements and practical applications in risk management.
08 Copulas and Financial Applications +
This session focuses on the use of copulas in modeling dependencies between financial assets. Researchers will discuss various copula models and their effectiveness in capturing complex relationships in financial data.
09 High-Dimensional Models for Financial Data +
This track addresses the challenges and methodologies associated with high-dimensional financial data. Participants will explore statistical techniques that facilitate analysis and interpretation in high-dimensional settings.
10 Forecasting Methods in Financial Contexts +
This session highlights various forecasting methods applicable to financial markets and economic indicators. Researchers will present novel approaches and evaluate their effectiveness in predicting financial outcomes.
11 Parameter Estimation in Stochastic Differential Equations +
This track focuses on the estimation of parameters in stochastic differential equations relevant to finance. Participants will discuss methodologies and case studies that illustrate the application of these techniques in financial modeling.