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  • Sách/Book

  • Risk management in banking

    • Authors: Joël Bessis (2015)

  • Risk management in banks became, and remained, a hot topic after the financial crisis. Addressing risk management in this context is challenging given that the magnitude of the crisis suggests that risk management was inefficient, that risk models were inadequate and that regulations failed to meet their goal of avoiding a major crisis.
  • Sách/Book

  • Investment Banking : Valuation, LBOs, M&A, and IPOs

    • Authors: Joshua Rosenbaum (2020)

  • Investment Banking: Valuation, LBOs, M&A, and IPOs, 3rd Edition is a highly accessible and authoritative book written by investment bankers that explains how to perform the valuation work and financial analysis at the core of Wall Street – comparable companies, precedent transactions, DCF, LBO, M&A analysis...and now IPO analytics and valuation. Using a step-by-step, how-to approach for each methodology, the authors build a chronological knowledge base and define key terms, financial concepts, and processes throughout the book.
  • Sách/Book

  • Commercial banking risk management : regulation in the wake of the financial crisis

    • Authors: Weidong Tian (2017)

  • It covers all important commercial banking risk management topics, including market risk, counterparty credit risk, liquidity risk, operational risk, fair lending risk, model risk, stress test, and CCAR from practical aspects. It also covers major components of enterprise risk management, a modern capital requirement framework, and the data technology used to help manage risk. Each chapter is written by an authority who is actively engaged with large commercial banks, consulting firms, auditing firms, regulatory agencies, and universities. This collection will be a trusted resource for anyone working in or studying the commercial banking industry
  • Sách/Book

  • Panel Data Econometrics with R

    • Authors: Croissant, Yves (2019)

  • This is the first book entirely dedicated to the subject of doing panel data econometrics in R, written by the very people who wrote most of the software considered, so it should be nat- urally adopted by R users wanting to do panel data analysis within their preferred software environment. According to the best practices of the R community, every example is meant to be replicable (in the style of package vignettes); all code is available from the standard online sources, as are all datasets. Most of the latter are contained in a dedicated companion package pder.
  • Sách/Book

  • Excel For Finance 2024 : A comprehensive guide to excel in quantitative finance

    • Authors: Hayden Van Der Post (2024)

  • This book covers everything you need to know to use Excel effectively in finance. Hands-on Learning: Packed with downloadable templates, datasets, and solutions, "Excel For Finance 2024" ensures you can apply what you learn directly to your work or studies. Future-Ready Skills: Stay ahead in your career by mastering the tools and techniques that will be most relevant in the finance industry of tomorrow.Don't let the evolving landscape of finance and technology leave you behind. Equip yourself with the skills, knowledge, and insights to thrive by making "Excel For Finance 2024" your go-to resource for Excel in finance. Available now wherever books are sold.