Introduction to option-adjusted spread analysis [[electronic resource] /] / Tom Windas ; revised by Tom Miller ; foreword by Peter Wilson

• Record Nr.: UNINA9910139199403321
• Autore: Windas Tom
• Pubbl/distr/stampa: New York, : Bloomberg Press, 2007
• ISBN: 1-119-20478-X; 1-282-68685-2; 9786612686856; 0-470-88313-8
• Edizione: [3rd ed.]
• Descrizione fisica: 1 online resource (177 p.)
• Collana: Bloomberg Financial ; ; v.46
• Altri autori (Persone): MillerTom <1964->; WindasTom
• Disciplina: 332.6; 332.63/2283
• Soggetti: Fixed-income securities; Option-adjusted spread analysis; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 153-154) and index.
• Nota di contenuto: Introduction to Option-Adjusted Spread Analysis; CONTENTS; Foreword by Peter Wilson; Acknowledgments; Introduction: Why OAS Analysis?; PART ONE Yield Analysis Versus OAS Analysis; CHAPTER 1 Fatal Flaws in Traditional Yield Calculations; CHAPTER 2 The Bond as a Portfolio; PART TWO Valuing Options; CHAPTER 3 Intrinsic Value; CHAPTER 4 Time Value; PART THREE Modeling Interest Rates; CHAPTER 5 Implied Spot and Forward Rates; CHAPTER 6 Beyond the Lognormal Model; CHAPTER 7 Volatility and the Binomial Tree; CHAPTER 8 Matching the Model to the Market; PART FOUR Measuring the Spread; CHAPTER 9 Bullet BondsCHAPTER 10 Nonbullet Bonds; PART FIVE Applications of OAS Analysis; CHAPTER 11 Evaluating Performance; CHAPTER 12 Estimating Fair Value; Conclusion: Building a Better OAS; Glossary; References & Additional Reading; Index
• Sommario/riassunto: "Explains option-adjusted spread analysis, a method for valuing bonds with options. This book takes readers through each step of the calculation"--Provided by publisher.

Iohnsons Arithmatick [[electronic resource] ] : in 2. bookes the first, of vulgare arithma: with diuers briefe and easye rules: to worke all the first 4. partes of arithmatick in whole numbers and fractions by the author newly invented the second, of decimall arithmatick wherby all fractionall operations are wrought, in whole numbers, in marchants accomptes without reduction; with interest, and annuityes by Iohn Iohnson survaighour; practitioner in the mattiematiqu

• Record Nr.: UNISA996394904203316
• Autore: Johnson John <fl. 1602-1657.>
• Pubbl/distr/stampa: Printed at london, : by Augustine Mathewes· and are to be sold at his hous in Stie. Brides Lane neere Fleetstre[t], 1623
• Descrizione fisica: [98], 368 p., folded table
• Soggetti: Arithmetic
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Signatures: pi¹ A-2F.; The title page is engraved and signed "FD sc", i.e. Francis Delaram.; Hind, A. Engraving in England in the 16th and 17th cents., 1955; part II, pp. 236-7.; Reproduction of the original in the Bodleian Library.; Identified as STC 14670 on UMI microfilm.
• Sommario/riassunto: eebo-0014

Advances in Computing and Data Sciences [[electronic resource] ] : 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers / / edited by Mayank Singh, Vipin Tyagi, P.K. Gupta, Jan Flusser, Tuncer Ören

• Record Nr.: UNISA996546838903316
• Autore: Singh Mayank
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• ISBN: 3-031-37940-3
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (611 pages)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 1848
• Altri autori (Persone): TyagiVipin; GuptaP. K; FlusserJan; ÖrenTuncer
• Disciplina: 004
• Soggetti: Data structures (Computer science); Information theory; Application software; Machine learning; Computers; Data Structures and Information Theory; Computer and Information Systems Applications; Machine Learning; Computing Milieux
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Text based Traffic Signboard Detection using YOLO v7 Architecture -- Energy Preserving ABE-based Data Security Scheme for Fog Computing -- An Approach for Effective Object Detection -- An Algorithm for solving two variable linear diophantine equations -- Deep Watcher: A Surveillance System using Deep Learning for the COVID-19 Pandemic -- Multiple linear regression based analysis of weather data for precipitation and visibility prediction -- Optimal and Event Driven Adaptive Fault Diagnosis for Arbitrary Network -- Analysis of Routing ; in IoT -- Autism children Behavioural Identification from Facial Regions through Thermal Image interpretations -- Synthesis of Elementary Cellular Automata for Targeted Cache Applications -- Optimal Perfect Phylogeny using ILP and Continuous Approximations -- A Novel Method for Near-Duplicate Image Detection Using Global Features -- VSMAS2HN: Verifiably Secure Mutual Authentication Scheme for Smart Healthcare Network -- Optimal KAZE and AKAZE Features for Facial Similarity Matching -- Modified InceptionV3 using Soft Attention for the Grading of Diabetic Retinopathy -- Comprehensive Study of Cyber Security in AI Based Smart Grid -- Sentiment classification of Diabetes-related tweets using transformer-based deep learning approach -- Assessment and prediction of a cyclonic event: A Deep learning model -- Technology enabled Self-directed learning: A review and framework -- Detecting Toxic comments using FastText, CNN, and LSTM models -- UEye: Insights on User Interface Design using Eye Movement Visualizations -- Code Mixed Information Retrieval for Gujarati Script News Articles -- Plant Disease classification using VGG-19 based Faster-RCNN -- Classification of Real and Deepfakes visual samples with pre-trained deep learning models -- Deep Learning based Speech Synthesis with Emotion Overlay -- An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru's Atmosphere -- Deep learning model based on a Transformers network for sentiment analysis using NLP in sports worldwide -- An Effective Framework for Sentiment Analysis using RNN and LSTM-based Deep Learning Approaches -- Spatial Domain Method for Image Analysis: A Grey-Level Computation Approach -- Crop yield prediction for smart agriculture with climatic parameters using Random Forest -- Implementation of XGBoost Regression for Calories Burnt Prediction using R -- Text Data Augmentation Using Generative Adversarial Networks, Back Translation and EDA -- Machine Learning-Based Temperature Monitoring and Prediction -- Pathrank Algorithm: Ranking Proteins in Mycobacterium tuberculosis and Human PPI Weighted Bipartite Graph Network -- Circ RNA based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV using Machine Learning -- Ensemble Approach to Classify Spam SMS from -- A Scientific Study for Breast Cancer Detection Using Various Machine Learning Algorithms -- YOLO based segmentation and CNN based classification Framework for epithelial and pus cell detection -- Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of Stock Market Prediction -- Driver Dozy Discernment using Neural Networks with SVM Variants -- An Efficient (MFFPA-2) Multiple Fuzzy Frequent Patterns Mining with Adjacency matrix and Type-2 Member function -- Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-based Approach -- Spear Phishing Using Machine Learning -- An Interpretable Deep Learning model for Skin Lesion Classification -- Unsupervised Ambient Vibration-Based Feature Extraction for Structural Damage Detection -- A New Grey Correlational Compromise Ranking Approach for Portfolio Selection for Investment in ESG Stocks -- Decision Tree based Test Case Generation using Story Board and Natural Language Processing.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 7th International Conference on Advances in Computing and Data Sciences, ICACDS 2023, held in Kolkata, India, during April 27–28, 2023. The 47 full papers included in this book were carefully reviewed and selected from 22 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences.