The Probability Distribution of Future Bad Debt Losses for a Given Portfolio of Accounts Receivable (Classic Reprint) - Softcover
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Understand how to model future default losses in a portfolio of receivables and move beyond single numbers. This book presents a method to derive the full probability distribution of bad debt losses, not just a point estimate. It helps you see the stochastic nature of losses and use probabilistic input in accounting and planning.
The work defines the random variable for total uncollectible amounts, explains how to combine defaults across aging categories, and shows how to compute moments such as the mean and higher moments. It also discusses choosing a distribution to represent the losses and using the method of moments to fit parameters from data. A two‑stage approach is proposed: first derive moments, then select a distribution that matches them. Realistic assumptions about independence and defaults are built in, with practical guidance on estimation and validation.
- Learn how the distribution of future bad debt losses is defined and computed from defaults and per‑default losses.
- See how to obtain mean, variance, and higher moment coefficients from portfolio data.
- Explore a two‑stage process to determine f(X): moment estimation followed by distribution fitting.
- Review example methods, including fitting a Gamma or Beta distribution to the loss distribution and checking fit with moment‑based tests.
Ideal for financial professionals, auditors, and students of risk management who want a rigorous, data‑driven approach to valuing doubtful accounts and projecting cash flows from receivables.
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Paperback. Zustand: New. Print on Demand. This book explores a critical but often overlooked aspect of business finance: the valuation of accounts receivable. While companies strive to maintain strong credit granting policies and efficient collection practices, a certain percentage of receivables will inevitably become uncollectible, resulting in bad debt losses. The author, recognizing the inherent randomness of this process, proposes a revolutionary approach by introducing the concept of the probability distribution of future bad debt losses. This groundbreaking concept shifts the focus from a single point estimate for potential losses to a more comprehensive understanding of the range of possible outcomes. The book delves into the mathematical framework for deriving this distribution, taking into account the age of receivables, the likelihood of default, and the amount potentially lost per default. This innovative approach allows financial professionals to move beyond simple, historical-based estimates and to instead quantify the risk associated with bad debt losses. By understanding the probability distribution, businesses can confidently establish allowances for doubtful accounts, ensuring that adequate funds are set aside to cover potential losses. Ultimately, this book provides a powerful tool for managing and mitigating the risks associated with accounts receivable, offering a more sophisticated and insightful approach to financial planning in the world of business. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9781332977857_0
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The Probability Distribution of Future Bad Debt Losses for a Given Portfolio of Accounts Receivable Classic Reprint
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781332977857
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The Probability Distribution of Future Bad Debt Losses for a Given Portfolio of Accounts Receivable Classic Reprint
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781332977857
Neu kaufen
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