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    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

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    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.
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    Credit Risk Modeling using Excel and VBA, 2 edition (repost)

    Posted By: interes
    Credit Risk Modeling using Excel and VBA, 2 edition (repost)

    Credit Risk Modeling using Excel and VBA, 2 edition by Gunter Löeffler and Peter N. Posch
    English | 2011 | ISBN: 0470660929 | 358 pages | PDF | 8 MB

    This book provides practitioners and students with a hands-on introduction to
    modern credit risk modeling. The authors begin each chapter with an accessible
    presentation of a given methodology, before providing a step-by-step guide to
    implementation methods in Excel and Visual Basic for Applications (VBA).
    The book covers default probability estimation (scoring, structural models,
    and transition matrices), correlation and portfolio analysis, validation, as well
    as credit default swaps and structured finance. Several appendices and videos
    increase ease of access.
    The second edition includes new coverage of the important issue of how
    parameter uncertainty can be dealt with in the estimation of portfolio risk, as
    well as comprehensive new sections on the pricing of CDSs and CDOs, and
    a chapter on predicting borrower-specific loss given default with regression
    models. In all, the authors present a host of applications - many of which
    go beyond standard Excel or VBA usages, for example, how to estimate logit
    models with maximum likelihood, or how to quickly conduct large-scale Monte
    Carlo simulations.
    Clearly written with a multitude of practical examples, the new edition of
    Credit Risk Modeling using Excel and VBA will prove an indispensible resource
    for anyone working in, studying or researching this important field.

    My nickname - interes