LEADER 06455oam 22016214 450 001 9910960080803321 005 20250426110712.0 010 $a9786612843105 010 $a9781462300280 010 $a1462300286 010 $a9781452797496 010 $a1452797498 010 $a9781282843103 010 $a1282843109 010 $a9781451872378 010 $a1451872372 035 $a(CKB)3170000000055250 035 $a(EBL)1608263 035 $a(SSID)ssj0000941484 035 $a(PQKBManifestationID)11577296 035 $a(PQKBTitleCode)TC0000941484 035 $a(PQKBWorkID)10963640 035 $a(PQKB)10653784 035 $a(OCoLC)586098021 035 $a(IMF)WPIEE2009090 035 $a(MiAaPQ)EBC1608263 035 $a(IMF)WPIEA2009090 035 $aWPIEA2009090 035 $a(EXLCZ)993170000000055250 100 $a20020129d2009 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aInflation Hedging for Long-Term Investors /$fShaun Roache, Alexander Attie 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2009. 215 $a1 online resource (39 p.) 225 1 $aIMF Working Papers 300 $a"April 2009". 311 08$a9781451916720 311 08$a1451916728 320 $aIncludes bibliographical references. 327 $aContents; I. Introduction; Figures; 1. Long-term Consumer Price Inflation, 1950-2008 (annual percent); II. Literature Review; A. Cash; B. Bonds; C. Corporate Equity; D. Alternatives; E. Diversified Portfolios; III. Inflation Hedging Over a One-Year Horizon; A. Data; Tables; 1. Short-Run Model Variables: Summary Statistics, Jan-1927 to Nov-2008; B. Estimation Strategy; C. Results; 2. Asset Class Sensitivity to Inflation Over a 12-Month Horizon; IV. Inflation Hedging over the Long Term; 3. Breakpoint Tests and Sub-Sample Regressions; A. Data; B. Estimation Strategy 327 $a3. Long-Run Model Variables: Summary Statistics, Aug-1956 to Oct-2008C. Results; 2. Inflation Shock 20-Year Cumulative Impulse Response Functions; 3. Inflation Shock Elasticities; V. Summary and Investment Implications; Appendix; References 330 3 $aLong-term investors face a common problem-how to maintain the purchasing power of their assets over time and achieve a level of real returns consistent with their investment objectives. While inflation-linked bonds and derivatives have been developed to hedge the effects of inflation, their limited supply and liquidity lead many investors to continue to rely on the indirect hedging properties of traditional asset classes. In this paper, we assess these properties over different time horizons, in the context of a diversified portfolio. Using a vector error correction model, we find that effective short-run hedges, such as commodities, may not work over longer horizons and that tactical asset allocation could enhance investment returns following inflation surprises. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/090 606 $aHedging (Finance) 606 $aInflation (Finance) 606 $aRisk 606 $aBanks and Banking$2imf 606 $aBonds$2imf 606 $aCapital and Ownership Structure$2imf 606 $aCurrencies$2imf 606 $aDeflation$2imf 606 $aFinancial institutions$2imf 606 $aFinancial Instruments$2imf 606 $aFinancial regulation and supervision$2imf 606 $aFinancial Risk and Risk Management$2imf 606 $aFinancial risk management$2imf 606 $aFinancial services law & regulation$2imf 606 $aFinancing Policy$2imf 606 $aGeneral Financial Markets: General (includes Measurement and Data)$2imf 606 $aGoodwill$2imf 606 $aGovernment and the Monetary System$2imf 606 $aHedging$2imf 606 $aInflation$2imf 606 $aInstitutional Investors$2imf 606 $aInvestment & securities$2imf 606 $aInvestment Decisions$2imf 606 $aInvestments: Bonds$2imf 606 $aInvestments: Stocks$2imf 606 $aMacroeconomics$2imf 606 $aMonetary economics$2imf 606 $aMonetary Systems$2imf 606 $aMoney and Monetary Policy$2imf 606 $aMoney$2imf 606 $aNon-bank Financial Institutions$2imf 606 $aPayment Systems$2imf 606 $aPension Funds$2imf 606 $aPortfolio Choice$2imf 606 $aPrice Level$2imf 606 $aPrices$2imf 606 $aRegimes$2imf 606 $aStandards$2imf 606 $aStocks$2imf 606 $aValue of Firms$2imf 607 $aUnited States$2imf 615 0$aHedging (Finance) 615 0$aInflation (Finance) 615 0$aRisk. 615 7$aBanks and Banking 615 7$aBonds 615 7$aCapital and Ownership Structure 615 7$aCurrencies 615 7$aDeflation 615 7$aFinancial institutions 615 7$aFinancial Instruments 615 7$aFinancial regulation and supervision 615 7$aFinancial Risk and Risk Management 615 7$aFinancial risk management 615 7$aFinancial services law & regulation 615 7$aFinancing Policy 615 7$aGeneral Financial Markets: General (includes Measurement and Data) 615 7$aGoodwill 615 7$aGovernment and the Monetary System 615 7$aHedging 615 7$aInflation 615 7$aInstitutional Investors 615 7$aInvestment & securities 615 7$aInvestment Decisions 615 7$aInvestments: Bonds 615 7$aInvestments: Stocks 615 7$aMacroeconomics 615 7$aMonetary economics 615 7$aMonetary Systems 615 7$aMoney and Monetary Policy 615 7$aMoney 615 7$aNon-bank Financial Institutions 615 7$aPayment Systems 615 7$aPension Funds 615 7$aPortfolio Choice 615 7$aPrice Level 615 7$aPrices 615 7$aRegimes 615 7$aStandards 615 7$aStocks 615 7$aValue of Firms 676 $a332.152 700 $aRoache$b Shaun$01815930 701 $aAttie$b Alexander$01816061 712 02$aInternational Monetary Fund.$bFinance Dept. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910960080803321 996 $aInflation Hedging for Long-Term Investors$94371705 997 $aUNINA LEADER 04036nam 22006494a 450 001 9911020010903321 005 20200520144314.0 010 $a9786610551514 010 $a9781280551512 010 $a1280551518 010 $a9780470036440 010 $a0470036443 010 $a9780470036433 010 $a0470036435 024 7 $a10.1002/0470036443 035 $a(CKB)1000000000354426 035 $a(EBL)269108 035 $a(SSID)ssj0000124344 035 $a(PQKBManifestationID)11132703 035 $a(PQKBTitleCode)TC0000124344 035 $a(PQKBWorkID)10017521 035 $a(PQKB)10772791 035 $a(MiAaPQ)EBC269108 035 $a(CaBNVSL)mat05201429 035 $a(IDAMS)0b0000648104a89f 035 $a(IEEE)5201429 035 $a(PPN)253822084 035 $a(OCoLC)85821053 035 $a(Perlego)2783810 035 $a(EXLCZ)991000000000354426 100 $a20051219d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe cognitive dynamics of computer science $ecost-effective large scale software development /$fSzabolcs Michael de Gyurky ; computer artwork by Mark A. Tarbell 210 $aHoboken, N.J. $cWiley-Interscience$dc2006 215 $a1 online resource (314 p.) 300 $a"IEEE Computer Society." 311 08$a9780471970477 311 08$a0471970476 320 $aIncludes bibliographical references and index. 327 $av. 1. Cost-effective large scale software development. 330 $aA groundbreaking, unifying theory of computer science for low-cost, high-quality softwareThe Cognitive Dynamics of Computer Science represents the culmination of more than thirty years of the author's hands-on experience in software development, which has resulted in a remarkable and sensible philosophy and practice of software development. It provides a groundbreaking ontology of computer science, while describing the processes, methodologies, and constructs needed to build high-quality, large-scale computer software systems on schedule and on budget.Based on his own experience in developing successful, low-cost software projects, the author makes a persuasive argument for developers to understand the philosophical underpinnings of software. He asserts that software in reality is an abstraction of the human thought system. The author draws from the seminal works of the great German philosophers--Kant, Hegel, and Schopenhauer--and recasts their theories of human mind and thought to create a unifying theory of computer science, cognitive dynamics, that opens the door to the next generation of computer science and forms the basic architecture for total autonomy.. Four detailed cases studies effectively demonstrate how philosophy and practice merge to meet the objective of high-quality, low-cost software.. The Autonomous Cognitive System chapter sets forth a model for a completely autonomous computer system, using the human thought system as the model for functional architecture and the human thought process as the model for the functional data process.. Although rooted in philosophy, this book is practical, addressing all the key areas that software professionals need to master in order to remain competitive and minimize costs, such as leadership, management, communication, and organization.This thought-provoking work will change the way students and professionals in computer science and software development conceptualize and perform their work. It provides them with both a philosophy and a set of practical tools to produce high-quality, low-cost software. 606 $aSoftware engineering 615 0$aSoftware engineering. 676 $a005.1 700 $aDe Gyurky$b Szabolcs Michael$01607171 712 02$aIEEE Computer Society. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020010903321 996 $aThe cognitive dynamics of computer science$94416095 997 $aUNINA