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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

    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.

    Managerial Discretion in Imperfect Markets

    Posted By: AvaxGenius
    Managerial Discretion in Imperfect Markets

    Managerial Discretion in Imperfect Markets by T. V. S. Ramamohan Rao
    English | PDF EPUB (True) | 2023 | 196 Pages | ISBN : 9819915368 | 5 MB

    This book deals with behavioral responses of management of firms that make several decisions with respect to production, marketing, finance, organization of activities within divisions, and interrelations between divisions (including synergies between them and constraints placed on each other in the attainment of overall goals of the firm). The market conditions, that constitute the basis of such decisions, may be stable, random but predictable, or uncertain. It can be expected that objectives attained by the firm, as a result of decisions of management, may be different from the maximum which can be achieved. A generic conceptualization of such managerial discretion and operationally useful methods of measurement have been presented. It is possible to develop machine learning algorithms on this basis to minimize managerial discretion and assist managers in arriving at strategic decisions thereby leaving more resources to deal with uncertain events as they arise. The volume is a great resource not only for researchers, but also decision makers in corporates.
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