LEADER 03892nam 22007333u 450 001 9910464235003321 005 20210117133248.0 010 $a1-4623-9311-X 010 $a1-4527-7328-9 010 $a1-4518-7179-1 010 $a1-282-84254-4 010 $a9786612842542 035 $a(CKB)3170000000055207 035 $a(EBL)1608187 035 $a(SSID)ssj0000940757 035 $a(PQKBManifestationID)11492017 035 $a(PQKBTitleCode)TC0000940757 035 $a(PQKBWorkID)10955942 035 $a(PQKB)11670850 035 $a(MiAaPQ)EBC1608187 035 $a(MiAaPQ)EBC3013326 035 $a(Au-PeEL)EBL1608187 035 $a(OCoLC)870245358 035 $a(EXLCZ)993170000000055207 100 $a20140210d2009|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEvaluating Historical CGER Assessments$b[electronic resource] 210 $aWashington $cInternational Monetary Fund$d2009 215 $a1 online resource (29 p.) 225 0 $aIMF Working Papers 300 $aDescription based upon print version of record. 311 $a1-4519-1615-9 327 $aContents; I. Introduction; Box; 1. An Overview of CGER Exchange Rate Assessment Methodologies; II. Evaluating Misalignment Assessments for Advanced Economies; A. Mean Prediction Error; Figures; 1. Mean Prediction Error; B. Panel Regressions; Tables; 1. Panel Regression Results using Midpoint of CGER Assessment; 2. Panel Regression Results using MB Misalignment Estimate; C. Individual Country Diagnostics; 3. Evaluation Diagnostics using MB Estimates; 2. Scatterplots of Realized vs. Predicted Changes in REER; D. Evaluating Current Account Movements; 4. Panel Regression Results using CA Norm 327 $aIII. Cross-Section Analysis of the Fall 2006 CGER Estimates5. Country Coverage of the Expanded CGER Exercise.; 3. Undconditional Scatterplots, 27 CGER Countries; 6. Regression Results using Midpoint of CGER Assessment; 4. Conditional Scatterplots using Midpoint of CGER Assessment; 7. Regression Results using Individual CGER Methodologies; IV. Conclusion; 8. Regression Results using Midpoint of CGER Assessment, Different Horizons.......; References; Appendices; 1. Pooled Regression Results; 2. Description of Diagnostic Statistics.; 3. Data Appendix 330 $aThe IMF's Consultative Group on Exchange Rate issues (CGER) has been conducting exchange rate assessments as part of the surveillance process since 1997. This paper evaluates CGER assessments from 1997 to 2006, by comparing these to subsequent movements in real effective exchange rates (REER). We find that CGER's estimated misalignments have predictive power over future REER movements, especially over longer horizons and after changes in fundamentals are accounted for. But while CGER misalignments frequently predict the direction of currency movements correctly, misalignments have tended to be 410 0$aIMF Working Papers 606 $aForeign exchange rates -- Mathematical models 606 $aForeign exchange 606 $aMonetary policy -- Mathematical models 606 $aFinance$2HILCC 606 $aBusiness & Economics$2HILCC 606 $aInternational Finance$2HILCC 608 $aElectronic books. 615 4$aForeign exchange rates -- Mathematical models. 615 4$aForeign exchange. 615 4$aMonetary policy -- Mathematical models. 615 7$aFinance 615 7$aBusiness & Economics 615 7$aInternational Finance 676 $a339.267 700 $aLee$b Jungjin$01035547 701 $aAbiad$b Abdul$0976405 701 $aKannan$b Prakash$0876248 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910464235003321 996 $aEvaluating Historical CGER Assessments$92455298 997 $aUNINA