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What color is your balance sheet The relevance and explanatory power of wealth accounts

What color is your balance sheet The relevance and explanatory power of wealth accounts The growing need for more relevant detail in financial statements proper to be produced annually, quarterly or monthly, and possibly continuously, translates into an urgent need for more advanced methods and tools for trend analysis. This paper takes a broader view at balance sheet analysis. We observe balance sheet items at the highest level of aggregation and compare them with the next level of detail. This exposes a multidimensional structure produced by all balance sheet items and their time points. This innovative approach to balance sheet analysis provides a new method to determine the relevance and materiality of accounting information. Instead of computing accounting ratios separately, we apply multivariate analysis as to explore the data space of the balance sheet of our example company 3M. We study tenyears of quarterly balance sheets and discuss some trends by comparing scatter plots with spectral map analysis spectramap for short and color coding to expose latent variables hidden in this data. We substantiate that we can explain the larger part of variance present in balance sheets in a more meaningful manner. This paper also seeks to corroborate the generality assumption that underlies the structure of the balance sheet. We strive to increase the usability of balance sheet data and underpin its explanatory power. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Balance Sheet Emerald Publishing

What color is your balance sheet The relevance and explanatory power of wealth accounts

Balance Sheet , Volume 12 (4): 16 – Sep 1, 2004

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0965-7967
DOI
10.1108/09657960410699685
Publisher site
See Article on Publisher Site

Abstract

The growing need for more relevant detail in financial statements proper to be produced annually, quarterly or monthly, and possibly continuously, translates into an urgent need for more advanced methods and tools for trend analysis. This paper takes a broader view at balance sheet analysis. We observe balance sheet items at the highest level of aggregation and compare them with the next level of detail. This exposes a multidimensional structure produced by all balance sheet items and their time points. This innovative approach to balance sheet analysis provides a new method to determine the relevance and materiality of accounting information. Instead of computing accounting ratios separately, we apply multivariate analysis as to explore the data space of the balance sheet of our example company 3M. We study tenyears of quarterly balance sheets and discuss some trends by comparing scatter plots with spectral map analysis spectramap for short and color coding to expose latent variables hidden in this data. We substantiate that we can explain the larger part of variance present in balance sheets in a more meaningful manner. This paper also seeks to corroborate the generality assumption that underlies the structure of the balance sheet. We strive to increase the usability of balance sheet data and underpin its explanatory power.

Journal

Balance SheetEmerald Publishing

Published: Sep 1, 2004

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