Stoyan V. Stoyanov

ORCID: 0000-0003-2775-1800
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Research Areas
  • Stochastic processes and financial applications
  • Financial Risk and Volatility Modeling
  • Financial Markets and Investment Strategies
  • Risk and Portfolio Optimization
  • Complex Systems and Time Series Analysis
  • Market Dynamics and Volatility
  • Economic theories and models
  • Insurance and Financial Risk Management
  • Wildlife Ecology and Conservation
  • Species Distribution and Climate Change
  • Capital Investment and Risk Analysis
  • Probability and Risk Models
  • Monetary Policy and Economic Impact
  • Genetic and phenotypic traits in livestock
  • Ecology and biodiversity studies
  • Credit Risk and Financial Regulations
  • Advanced Statistical Methods and Models
  • Decision-Making and Behavioral Economics
  • Statistical Methods and Inference
  • Bayesian Modeling and Causal Inference
  • Insurance, Mortality, Demography, Risk Management
  • Data Management and Algorithms
  • Botany and Plant Ecology Studies
  • Bayesian Methods and Mixture Models
  • Reservoir Engineering and Simulation Methods

Charles Schwab Corporation (United States)
2006-2024

Institute of Biodiversity and Ecosystem Research
2022-2023

Bulgarian Academy of Sciences
2022-2023

University of Forestry
2014-2023

Sofia University "St. Kliment Ohridski"
2005-2022

Medical University of Varna
2022

AT Sciences (United States)
2022

Stony Brook University
2008-2020

State Street (United States)
2016

Ecole des Hautes Etudes Commerciales du Nord
2012-2013

Some new performance measures may be regarded as alternatives to the most popular criterion for portfolio optimization, Sharpe ratio. Analysis of some allocation problems here takes into consideration selection models based on different risk perceptions and sample paths final wealth process each problem. One ratio seems suitable optimization problems, but we need a thorough classification set that would ideal large classes financial problems.

10.3905/jpm.2004.443328 article EN The Journal of Portfolio Management 2004-10-31

Abstract Top predators can suppress mesopredators by killing them, competing for resources and instilling fear, but it is unclear how suppression of varies with the distribution abundance top at large spatial scales among different ecological contexts. We suggest that will be strongest where occur high densities over areas. These conditions are more likely to in core than on margins predator ranges. propose Enemy Constraint Hypothesis, which predicts weakened top-down effects towards edge...

10.1038/ncomms15469 article EN cc-by Nature Communications 2017-05-23

This paper examines the properties that a risk measure should satisfy in order to characterize an investor's preferences. In particular, we propose some intuitive and realistic examples describe several desirable features of ideal measure. analysis is first step understanding how classify risk. Risk asymmetric, relative, heteroskedastic, multidimensional concept has take into account asymptotic behavior returns, inter-temporal dependence, risk-time aggregation, impact economic phenomena...

10.1142/s0219024908004713 article EN International Journal of Theoretical and Applied Finance 2008-02-01

Top-down suppression by apex predators can limit the abundance and spatial distribution of mesopredators. However, this phenomenon has not been studied over long time periods in human-dominated landscapes, where strength process might be limited. Here, we used a multi-scale approach to analyse interactions between two canids landscapes Europe. We tested hypothesis that range expansion golden jackals ( Canis aureus ) was triggered intensive persecution resulting decline predator, grey wolf...

10.4404/hystrix-28.1-11819 article EN Hystrix 2017-03-19

Abstract The classes of reward‐risk optimization problems that arise from different choices reward and risk measures are considered. In certain examples the generic problem reduces to linear or quadratic programming problems. An algorithm based on a sequence convex feasibility is given for general quasi‐concave ratio problem. Reward‐risk ratios appropriate in particular non‐normal assets return distributions not also Keywords: ratiooptimal portfoliorisk measureefficent frontier...

10.1080/13504860701255292 article EN Applied Mathematical Finance 2007-12-01

10.1016/j.jfineco.2016.04.002 article EN Journal of Financial Economics 2016-11-03

This paper discusses and analyzes risk measure properties in order to understand how a has be used optimize the investor's portfolio choices. In particular, we distinguish between two admissible classes of measures proposed literature: safety-risk dispersion measures. We study describe could depend on other distributional parameters. Then, examine discuss differences statistical parametric models linear fund separation ones. Finally, propose an empirical comparison among three different...

10.1142/s0219024905003402 article EN International Journal of Theoretical and Applied Finance 2005-12-01

In the post-crisis era, financial institutions seem to be more aware of risks posed by extreme events. Even though there are attempts adapt methodologies drawing from vast academic literature on topic, is also skepticism that fat-tailed models needed. this article, authors address common criticism and discuss three popular methods for risk modeling based full distribution value theory. <bold>TOPICS:</bold> <ext-link>Tail risks</ext-link>, <ext-link>factor-based models</ext-link>,...

10.3905/jpm.2011.37.2.107 article EN The Journal of Portfolio Management 2011-01-23

Analyzing comovements in equity markets is important for risk diversification portfolio management. Copulas have several advantages compared to the linear correlation measure modeling comovement. This paper introduces a copula ARMA-GARCH model analyzing comovement of indexes German markets. The implemented with an marginal distributions and joint distribution. After goodness-of-fit testing, we find that skewed Student's t ARMA(1,1)-GARCH(1,1) Lévy fractional stable noise superior alternative...

10.2202/1558-3708.1572 article EN Studies in Nonlinear Dynamics and Econometrics 2008-01-27

This report presents the results of field activities in relation to generation reliable wild boar density values by camera trapping (CT) 19 areas Europe, mainly East Europe. Random Encounter Model (REM) densities ranged from 0.35±0.24 15.25±2.41 (SE) individuals/km2. No statistical differences among bioregions were found. The number contacts was component rate that determined coefficient variation (CV) most. daily range (DR) significantly varied as a function management; higher detected...

10.2903/sp.efsa.2022.en-7214 article EN EFSA Supporting Publications 2022-03-01

10.1016/j.jbankfin.2012.11.010 article EN Journal of Banking & Finance 2012-11-29

Golden jackal ( Canis aureus ) expansion in the last decades has triggered research interest Europe. However, phylogeny and taxonomy are still controversial. Morphometric studies Europe found differences between Dalmatian other European jackals. Recent genetic revealed that African Eurasian golden jackals distinct species. Moreover, large lupaster may be a cryptic subspecies of jackal. Although suggest changes taxonomy, morphological morphometric needed. The present study proposes first...

10.3897/zookeys.917.39449 article EN cc-by ZooKeys 2020-03-09
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