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1. |
Record Nr. |
UNINA9910788525603321 |
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Autore |
Oomes Nienke |
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Titolo |
The Utilization-Adjusted Output Gap : : Is the Russian Economy Overheating? / / Nienke Oomes, Oksana Dynnikova |
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Pubbl/distr/stampa |
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Washington, D.C. : , : International Monetary Fund, , 2006 |
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ISBN |
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1-4623-2559-9 |
1-4527-5116-1 |
1-282-47422-7 |
1-4519-0864-4 |
9786613821751 |
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Descrizione fisica |
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1 online resource (46 p.) |
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Collana |
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Altri autori (Persone) |
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Soggetti |
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Inflation (Finance) - Russia - Econometric models |
Input-output analysis - Russia - Econometric models |
Phillips curve - Econometric models |
Inflation |
Labor |
Macroeconomics |
Production and Operations Management |
Macroeconomics: Production |
Labor Economics Policies |
Price Level |
Deflation |
Labor Economics: General |
Labour |
income economics |
Capacity utilization |
Output gap |
Labor policy |
Industrial capacity |
Production |
Economic theory |
Prices |
Labor economics |
Russian Federation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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""Contents""; ""I. INTRODUCTION""; ""II. THE NONACCELERATING INFLATION RATE OF FACTOR UTILIZATION""; ""III. FACTOR UTILIZATION IN RUSSIA""; ""A. Capacity Utilization""; ""B. Labor Utilization""; ""C. Estimating the Natural Rate""; ""IV. OUTPUT GAP ESTIMATES""; ""A. Trend Fitting and Statistical Filtering""; ""B. Production Function Approach""; ""V. CONCLUSIONS""; ""I. Characteristics and Methodology of Capacity Utilization Surveys""; ""II. Econometric NAICU Estimates""; ""III. Statistical Methods for Estimating the Output Gap""; ""References"" |
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Sommario/riassunto |
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This paper estimates the output gap in Russia using a utilization-adjusted production function approach, which we argue is preferable to traditional output gap methods. The approach amounts to (1) using available surveys to estimate the "natural rates" of capacity and labor utilization above which inflation begins to accelerate; (2) estimating a production function with utilization-adjusted capital and labor inputs; and (3) defining potential output as the level of output obtained when both capital and labor are at their estimated natural rates. The results suggest that the output gap in Russia was negative between 1999 and 2003, but may have recently become positive, thus contributing to inflationary pressures. |
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2. |
Record Nr. |
UNINA9910298198003321 |
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Autore |
Corelli Angelo |
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Titolo |
Analytical Corporate Finance / / by Angelo Corelli |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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3-319-95762-7 |
9783319957623 |
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Edizione |
[2nd ed. 2018.] |
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Descrizione fisica |
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1 online resource (xx, 501 pages) : illustrations |
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Collana |
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Springer Texts in Business and Economics, , 2192-4333 |
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Disciplina |
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Soggetti |
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Business enterprises—Finance |
Risk management |
Economics, Mathematical |
Financial engineering |
Accounting |
Business Finance |
Risk Management |
Quantitative Finance |
Financial Engineering |
Financial Accounting |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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First edition published: 2016. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Basic Concepts -- Valuation Tools -- The Relationship Between Risk and Return -- Business Analysis -- Debt Valuation -- Equity Valuation -- Capital Structure -- Company Valuation -- Financial and Real Options -- Long-Term Financing -- Working Capital Management -- Financial Planning -- International Corporate Finance -- Special Topics. |
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Sommario/riassunto |
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This book draws readers’ attention to the financial aspects of daily life at a corporation by combining a robust mathematical setting and the explanation and derivation of the most popular models of the firm. Intended for third-year undergraduate students of business finance, quantitative finance, and financial mathematics, as well as first-year postgraduate students, it is based on the twin pillars of theory and analytics, which merge in a way that makes it easy for students to |
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understand the exact meaning of the concepts and their representation and applicability in real-world contexts. Examples are given throughout the chapters in order to clarify the most intricate aspects; where needed, there are appendices at the end of chapters, offering additional mathematical insights into specific topics. Due to the recent growth in knowledge demand in the private sector, practitioners can also profit from the book as a bridge-builder between university and industry. Lastly, the book provides useful information for managers who want to deepen their understanding of risk management and come to recognize what may have been lacking in their own systems. |
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