111,99 €
111,99 €
inkl. MwSt.
Sofort per Download lieferbar
payback
0 °P sammeln
111,99 €
111,99 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
0 °P sammeln
Als Download kaufen
111,99 €
inkl. MwSt.
Sofort per Download lieferbar
payback
0 °P sammeln
Jetzt verschenken
111,99 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
0 °P sammeln
  • Format: ePub

A practical guide to the practices and procedures of effectively managing banking risks Managing Risks in Commercial and Retail Banking takes an in-depth, logical look at dealing with all aspects of risk management within the banking sector. It presents complex processes in a simplified way by providing real-life situations and examples. The book examines all dimensions of the risks that banks face--both the financial risks--credit, market, and operational--and the non-financial risks--money laundering, information technology, business strategy, legal, and reputational. Focusing on methods and…mehr

  • Geräte: eReader
  • mit Kopierschutz
  • eBook Hilfe
  • Größe: 2.89MB
Produktbeschreibung
A practical guide to the practices and procedures of effectively managing banking risks Managing Risks in Commercial and Retail Banking takes an in-depth, logical look at dealing with all aspects of risk management within the banking sector. It presents complex processes in a simplified way by providing real-life situations and examples. The book examines all dimensions of the risks that banks face--both the financial risks--credit, market, and operational--and the non-financial risks--money laundering, information technology, business strategy, legal, and reputational. Focusing on methods and models for identifying, measuring, monitoring, and controlling risks, it provides practical advice backed up by solid theories, without resorting to the use of complicated mathematical and statistical formulas. Author Amalendu Ghosh exposes topics that are usually absent in books on managing banking risk--such as design of control framework, risk management architecture, credit risk rating, risk-based loan pricing, portfolio analysis, business continuity planning, and corporate governance. * Author has extensive experience with a variety of major banks and institutions worldwide and brings a fresh perspective in the wake of the global finance crisis * Presents a novel approach using models of the credit risk rating of different types of borrowers, the methodology for assigning weights for deriving the rating, and the scoring process * Covers the essentials of corporate governance and options for credit risk assessment in line with the recommendations made in the New Basel Capital Accord * Explains the methodology of risk-based internal audit, including techniques to enable bank branches to switch over from the old transaction-based audit methods With its logical sequence of the aspects of risk management, the book's layout is ideal for presentations, making it a handy tool for risk management training

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
AMALENDU GHOSH worked for the Reserve Bank of India (RBI) for thirty-six years and has extensive exposure to bank regulation, risk management, risk-based bank supervision, and the New Basel Capital Accord. He was the chief of RBI's banking regulation department. After retirement, he worked with RBI on a contractual basis as the head of a risk-based bank supervision project implementation group, and was involved in drawing the road map, developing a supervision model, and writing a bank examination manual for actual conduct of bank inspection for the switch to the risk-based bank supervision system. Ghosh was also the risk management consultant to two nationalized commercial banks in India. He has hands-on experience in the formulation and implementation of risk management practices and procedures including development of models for counterparty rating.