Finnancial Engineering Solutions

Mission

Our mission is to inspire and motivate financial analysts and general practitioners not only to use well-known and acknowledged specialized software but also to propose alternative financial engineering solutions (FES).

Who are we?

Mariyan Milev

“Discontinuous Payoff Option Pricing: Finite Difference Approach“
computational methods for derivatives pricing, pricing of options with a discontinuous payoff, nonstandard finite difference schemes and numerical algorithms for pricing of discrete barrier options, accuracy of computational methods in Finance

Stanimir Kabaivanov

“Investment portfolio valuation aided by artificial intelligence systems”
computational methods in finance, financial markets and securities, econometrics, software development

Angel Marchev, Jr.

“Selection of models for management of investment portfolio (based on Bulgarian Stock Market)”
System Analysis, Cybernetics and systems theory, Computer Simulation, Forecasting, Financial markets and instruments, Decision and risk theory, Modern portfolio theory, Self-organization, Evolutionary algorithms, Chaos theory

Boryana Bogdanova

“A wavelet-based approach to the efficiency and integration of South-East European stock markets”
Finance, Financial Analysis, Corporate Finance, Investment, Applied Econometrics, Banking and Finance, Risk Management, Financial Risk Management, Time Series Analysis, Time Series Econometrics

Following our mission statement we come together to develop all subsequent initiatives, but not less of importance are the following:
* proposing vanguard solutions to complex problems
* writing solutions in various programming languages
* aggregating a library of ready-to-use, freely available solutions
* extending the variety of our open access library
* completing the FES library and categorize into separate sections according to the preferred programming language, e.g. MATLAB, MapleSoft, C, C+, C++, .NET etc.
* classifying of ‘computational methods for Quantitative Finance’ according to their efficiency taking into account criteria and factors such as universality, hardness in computer implementation and application, compatibility, understandability, computational speed, high accuracy and etc.
* gathering international scientists and people whose research activity is interdisciplinary
* building a social network of professionals and increasing the possibility for them to discuss new ideas and collaborate periodically during events, traditional conferences and one annual general meetings (AGM)
*imposing the requirements FES should comply with, such as generic implementation, stability, effectiveness and degree of correctness
*understanding the limitations of widely used products and making explicit decisions when a custom solution is necessary and has to be developed

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