05237oam 22011174 450 991095718910332120250426110653.097866128425429781462393114146239311X978145277328514527732899781451871791145187179197812828425401282842544(CKB)3170000000055207(EBL)1608187(SSID)ssj0000940757(PQKBManifestationID)11492017(PQKBTitleCode)TC0000940757(PQKBWorkID)10955942(PQKB)11670850(Au-PeEL)EBL1608187(OCoLC)870245358(IMF)WPIEE2009032(MiAaPQ)EBC3013326(MiAaPQ)EBC1608187(IMF)WPIEA2009032WPIEA2009032(EXLCZ)99317000000005520720020129d2009 uf 0engur|n|---|||||txtccrEvaluating Historical CGER Assessments : How Well Have They Predicted Subsequent Exchange Rate Movements? /Jungjin Lee, Abdul Abiad, Prakash Kannan1st ed.Washington, D.C. :International Monetary Fund,2009.1 online resource (29 p.)IMF Working PapersDescription based upon print version of record.9781451916157 1451916159 Includes bibliographical references.Contents; 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 NormIII. 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 AppendixThe 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 persistent, resulting in systematic errors-overprediction for undervalued currencies and underprediction for overvalued currencies.IMF Working Papers; Working Paper ;No. 2009/032Foreign exchange ratesMathematical modelsForeign exchangeCurrenciesimfCurrencyimfExchange rate assessmentsimfExchange ratesimfForeign ExchangeimfForeign exchangeimfGovernment and the Monetary SystemimfMonetary economicsimfMonetary SystemsimfMoney and Monetary PolicyimfMoneyimfPayment SystemsimfReal effective exchange ratesimfReal exchange ratesimfRegimesimfStandardsimfUnited StatesimfForeign exchange ratesMathematical models.Foreign exchange.CurrenciesCurrencyExchange rate assessmentsExchange ratesForeign ExchangeForeign exchangeGovernment and the Monetary SystemMonetary economicsMonetary SystemsMoney and Monetary PolicyMoneyPayment SystemsReal effective exchange ratesReal exchange ratesRegimesStandards339.267Lee Jungjin1800217Abiad Abdul1800218Kannan Prakash1800219DcWaIMFBOOK9910957189103321Evaluating Historical CGER Assessments4344868UNINA06131nam 22007335 450 991104765450332120251001130732.03-031-98356-410.1007/978-3-031-98356-6(CKB)41521004100041(MiAaPQ)EBC32323308(Au-PeEL)EBL32323308(DE-He213)978-3-031-98356-6(EXLCZ)994152100410004120251001d2026 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierComputational Intelligence in Data Science 8th IFIP TC 12 International Conference, ICCIDS 2025, Chennai, India, February 12–14, 2025, Revised Selected Papers, Part I /edited by Eunika Mercier-Laurent, Bhuvana Jayaraman, Priyadharsini Ravisankar, Angel Deborah S., Anusha Jayasimhan1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (518 pages)IFIP Advances in Information and Communication Technology,1868-422X ;7483-031-98355-6 -- Computer Vision for Real World Applications. -- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models with GA-SA Hybrid. -- Efficient Medicinal Plant Leaf Classification Using MobileNet Architecture: A Deep Learning Approach. -- SAVER: A Cost-Effective Drone-Based Object Detection and Thermal Mapping System for Enhanced Emergency Response. -- Anchors as Building Blocks: A Detailed survey of Scene Graph Decomposition and Captioning. -- Signxv8 For Realtime Sign Language Translation. -- Advanced Multi-Class Brain Tumor Segmentation Using Deep Learning Architectures. -- EduVid: Transforming Educational Text into Engaging Videos. -- Optimizing the Hyperparameters for Classification of Lung Diseases from Chest X-ray Images. -- ResUNet-AttnASPP – A novel ResUNet architecture with Atrous Spatial Pyramid Pooling (ASPP) and attention gates for efficient brain tumor segmentation. -- Leveraging Convolutional Neural Networks for Gait Recognition and Individual Identification for improved neurological care. -- Deep Learning for Enhanced Delineation and Classification in Brain MRI Images. -- EfficientNetB1-Based Model for Brain Tumor Classification in MRI. -- FoodWise: Diabetes-Friendly Nutrition Guide for Traditional Indian Dishes. -- The Amphibian and Reptiles Classification from Camera Trap Images Using Deep Learning. -- Deciphering the Intricacies of Pancreatic Malignancy Through Advanced Deep Learning Methodologies. -- Beam Light Detection and Intensity Analysis using Computer Vision. -- Deep CNN Based Image Classifier for Home CCTV Monitoring System to Detect Intruders. -- Optimizing Terrain Classification with Multi-Spectral Imaging Using Machine Learning Models. -- Empirical Analysis of Deep Learning Models for Multinational Currency Detection. -- Real-Time Sign Language Recognition and Multilingual Translation Using Ensemble Deep Neural Networks and TensorFlow’s MoveNe. -- Automated Melanoma Detection using integrated Neural network architectures. -- A Hybrid Deep Learning Framework for Image Deblurring and Colorization using CNNs and GANs. -- PawsitivelyYours: A Comprehensive Approach to Detect Canine Atopic Dermatitis. -- Attention Integrated DenseNet121 based U-Net Model for Efficient Segmentation using LGG Tumor data. -- Deep Convolutional Neural Network Model For Predicting Alzheimer’s Disease. -- Automatic Comic Converter From Videos. -- Efficient Channel Attention Based CNN For Skin Disease Classification. -- Satellite Image Analysis Using Convolution Neural Networks For Environmental Monitoring. -- Backend Optimization and Face Recognition in Real-Time Surveillance using DeepFace.The three-volume set IFIP ICCIDS 748, 749 and 750 constitutes the refereed post-conference proceedings of the 8th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2025, held in Chennai, India, during February 12–14, 2025. The 91 papers including 70 regular papers and 21 short papers included in these proceedings were carefully reviewed and selected from 317 submissions. The papers are organized in the following topical sections: Part I: Computer Vision for Real World Applications. Part II: Computer Vision for Real World Applications; Emerging Trends in AI for Speech and Text. Part III: Emerging Trends in AI for Speech and Text; Computational Intelligence for Secure, Smart and Sustainable Applications.IFIP Advances in Information and Communication Technology,1868-422X ;748Data miningApplication softwareArtificial intelligenceImage processingDigital techniquesComputer visionComputersData Mining and Knowledge DiscoveryComputer and Information Systems ApplicationsArtificial IntelligenceComputer Imaging, Vision, Pattern Recognition and GraphicsComputing MilieuxData mining.Application software.Artificial intelligence.Image processingDigital techniques.Computer vision.Computers.Data Mining and Knowledge Discovery.Computer and Information Systems Applications.Artificial Intelligence.Computer Imaging, Vision, Pattern Recognition and Graphics.Computing Milieux.006.312Mercier-Laurent Eunika852612Jayaraman Bhuvana1864368Ravisankar Priyadharsini1864369S Angel Deborah1864370Jayasimhan Anusha1864371MiAaPQMiAaPQMiAaPQBOOK9911047654503321Computational Intelligence in Data Science4471187UNINA