Aparna Gupta

This book includes certain important aspects related to a drug and the optimization of its formulation. The studied drug, i.e. Bupropion Hydrochloride is having potential to act against the depression of youngsters (Major Depressive Disorder) and also helps in cessation of smoking. So, for the enhancement of activity of drug inside the body, a desirable sustained release formulation is prepared which is able to release maximum amount of drug within 12 hrs. This will enhance the patient compliance, as people undergoing with the depression will obtain the drug with sustain release without the repetition of dosing of Bupropion. So, to prepare an optimized formulation of drug, one of the relevant technique of Design of Experiment (DoE) is utilized which is Formulation by Design (FbD). This techniques helped to design the best formulation by taking optimum concentration of chosen dependent and independent variables.

The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk. Simulation models and methodologies offer an effective way to address many of these problems and are easy for finance professionals to understand and use. Drawing on the author’s extensive teaching experience, this accessible book walks you through the concepts, models, and computational techniques.How Simulation Models Can Help You Manage Risk More EffectivelyOrganized into four parts, the book begins with the concepts and framework for risk management. It then introduces the modeling and computational techniques for solving risk management problems, from model development, verification, and validation to designing simulation experiments and conducting appropriate output analysis. The third part of the book delves into specific issues of risk management in a range of risk types. These include market risk, equity risk, interest rate risk, commodity risk, currency risk, credit risk, liquidity risk, and strategic, business, and operational risks. The author also examines insurance as a mechanism for risk management and risk transfer. The final part of the book explores advanced concepts and techniques. The book contains extensive review questions and detailed quantitative or computational exercises in all chapters. Use of MATLAB® mathematical software is encouraged and suggestions for MATLAB functions are provided throughout.Learn Step by Step, from Basic Concepts to More Complex ModelsPacked with applied examples and exercises,

The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk. Simulation models and methodologies offer an effective way to address many of these problems and are easy for finance professionals to understand and use. Drawing on the author’s extensive teaching experience, this accessible book walks you through the concepts, models, and computational techniques.How Simulation Models Can Help You Manage Risk More EffectivelyOrganized into four parts, the book begins with the concepts and framework for risk management. It then introduces the modeling and computational techniques for solving risk management problems, from model development, verification, and validation to designing simulation experiments and conducting appropriate output analysis. The third part of the book delves into specific issues of risk management in a range of risk types. These include market risk, equity risk, interest rate risk, commodity risk, currency risk, credit risk, liquidity risk, and strategic, business, and operational risks. The author also examines insurance as a mechanism for risk management and risk transfer. The final part of the book explores advanced concepts and techniques. The book contains extensive review questions and detailed quantitative or computational exercises in all chapters. Use of MATLAB® mathematical software is encouraged and suggestions for MATLAB functions are provided throughout.Learn Step by Step, from Basic Concepts to More Complex ModelsPacked with applied examples and exercises,