Forecasting Models for the German Office Market,Used

Forecasting Models for the German Office Market,Used

SKU: SONG3834915254 In Stock
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Product Description The applicability and performance of ARIMA, GARCH and multivariate regression models are analyzed and city as well as forecasting horizonspecific patterns are determined and interpreted by Alexander Bnner. Univariate rent forecasting models generally outperform multivariate rent forecasting regression models in the short run. In the long run, multivariate regression models dominate. From the Back Cover In every market with free floating prices, all market participants are interested in the future developments of these prices. However, there is an evident research gap for forecasting models for the German office market. Alexander Bnner closes this gap by focusing on an empirical investigation of several rent and total yield forecasting models for nine major German cities. The applicability and performance of ARIMA, GARCH and multivariate regression models are analyzed and city as well as forecasting horizonspecific patterns are determined and interpreted. Univariate rent forecasting models generally outperform multivariate rent forecasting regression models in the short run. In the long run, multivariate regression models dominate. However, one must bear in mind that in some cities one model permanently outperforms the other. Eventually, the rent level is mainly determined by its economic fundamentals, which is also demonstrated for the total yield examination. About the Author Dr. Alexander Bnner promovierte bei Prof. Dr. Pascal Gantenbein am Schweizerischen Institut fr Banken und Finanzen an der Universitt St. Gallen (Schweiz). Er ist als wissenschaftlicher Assistent am Lehrstuhl fr Finanzwirtschaft der St. Gallen bei Prof. Dr. Dr. h.c. Klaus Spremann ttig.

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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