Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Heavy-Tailed Distributions and Robustness in Economics and Finance

    Posted By: Underaglassmoon
    Heavy-Tailed Distributions and Robustness in Economics and Finance

    Heavy-Tailed Distributions and Robustness in Economics and Finance
    Springer | Statistics | Jun 14 2015 | ISBN-10: 3319168762 | 119 pages | pdf | 1.7 mb

    by Marat Ibragimov (Author), Rustam Ibragimov (Author), Johan Walden (Author)

    From the Back Cover
    This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. A central theme is that of (non-)robustness, i.e., the fact that the presence of heavy tails can either reinforce or reverse the implications of a number of models in these fields, depending on the degree of heavy-tailedness. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations. Several recently developed robust inference approaches are discussed and illustrated, together with applications.

    About the Author
    Since 2013, Marat Ibragimov works as an Associate Professor at Kazan (Volga Region) Federal University in Kazan, Russia. He graduated from the Department of Mathematics at Kazan State University in 1974 and received his Ph.D. from the Uzbek Academy of Sciences in 1982. His current research interests include econometric analysis of emerging, transition and post-Soviet markets, the study of income and wealth distribution and labour markets in emerging and transition countries, modelling of financial and economic crises, matrix theory and moment and probability inequalities, among others.

    Since 2012, Rustam Ibragimov works as a Professor of Finance and Econometrics at the Imperial College Business School. Professor Ibragimov received his Ph.D. in Economics from Yale University in 2005. He also holds a Ph.D. degree in Mathematics from the Uzbek Academy of Sciences. Following his graduation from Yale and prior to joining the Imperial, Rustam Ibragimov was an Assistant Professor (2005-2009) and then an Associate Professor (2009-2012) at Harvard’s Economics Department. Professor Ibragimov’s current research interests include modelling crises and contagion in financial and economic markets and the analysis of their effects on properties of key models in economics and finance; development of robust econometric and statistical inference methods and their applications in financial econometrics.

    Johan Walden is an Associate Professor of Finance at University of California at Berkeley, Haas School of Business. He received his Ph.D. in financial economics from Yale University. Professor Walden’s research is focused on asset pricing with information networks, financial intermediaries, and on risk management with heavy-tailed risks. He also has a Ph.D. in applied mathematics from Uppsala University, Sweden.

    Topics
    Statistics for Business, Economics, Mathematical Finance, Insurance
    Statistical Theory and Methods
    Econometrics