Accouting For Trends Relevance Explanatory And Predictive Power Of The Framework Of Tripleentry Bookkeeping And Momentum Accounting Of Yuji Ijiri Eric Melse by Eric Melse 9789090221052, 9090221050 instant download after payment.

Improving the ability to analyze trends in accounting data can benefit all users of financial state-ments. Tema is a framework and a methodology with potential to disclose and study trends in the composition of the wealth together with other period related non-financial data.
This study did not intend to test the predictive ability of the tema framework to forecast earnings or the market value of individual company’s stock value. Instead, I sought to find evidence in support of the general relationship of variables in the tema framework.
This research seeks to find evidence in support of the tema framework, proposed by Yuji Ijiri (1982, 1984, 1986, 1987, 1988 and 1989); to validate its relevance, explanatory and predictive power. Fraser (1993, 157) challenged Ijiri’s triple-entry bookkeeping & momentum accounting theory, tema in short, for lack of clear objectives, unclear benefits, likely practical difficulties, deficient internal logic, as well as unpromising prospects to sustain the argument that there is a general relationship between income, wealth and momentum.
To find support for tema, I investigated financial statements of aex and Dow component companies in an effort to acquire new knowledge about the relevance and empirical validity of the tema framework for selected examples. Eight studies were presented in two parts in this thesis. The first four studies addressed the informational relevance of accounting variables from the tema frame-work. To further advance the study of business momentum and to disclose forward-looking ac-counting information, Ijiri recommends arima time series modeling as an alternative for a fully fledged implementation of triple-entry bookkeeping. The second part ventures along that line of investigation and includes four studies that test with econometric models the explanatory and predictive power of accounting variables of the tema framework.