Conservative Accounting and Finite Firm Life: Why Residual Income Valuation Estimates Understate Stock Price

1999 ◽  
Author(s):  
James N. Myers
Keyword(s):  
Stock Price ◽  
Residual Income ◽  
Conservative Accounting ◽  
Residual Income Valuation

A Study of Stock Price Behavior in Taiwan via Residual Income Valuation Theory and Structural Identification

2012 ◽  
Vol 15 (04) ◽  
pp. 1250016 ◽  
Author(s):  
Keshin Tswei ◽  
Chen-Yin Kuo
Keyword(s):  
Behavioral Finance ◽  
Stock Prices ◽  
Stock Price ◽  
Information Diffusion ◽  
Value Relevance ◽  
Residual Income ◽  
Reduced Form ◽  
Valuation Theory ◽  
Long Run ◽  
Residual Income Valuation

This study adopts the methodology introduced by Lee (2006) to analyze stock prices in response to information shocks in six of Taiwan's stock market sectors and present market anomalies utilizing behavioral finance theory. Using the Residual Income Model (RIM) of equity valuation, we specified our empirical model to identify structural fundamental and nonfundamental shocks from reduced-form tangible and intangible news, and we obtained three major results. First, fundamental shock is primarily induced by tangible news and nonfundamental shock by intangible news, suggesting that tangible-oriented RIM can capture the information content of stock prices. Second, impulse response analyses show that investors generally underreact to fundamental shocks and consistently overreact to nonfundamental shocks in the short-run. This finding is compatible with the overconfidence theory of Daniel et al. (1998) in behavioral finance literature. Third, information diffusion efficiency in a market appears to depend on the value relevance quality of its tangible information. This is based on our finding that when tangible information constitutes a higher share of a market's fundamental shock, its price converges faster to the long-run equilibrium associated with the shock.

City Union Bank: Residual Income Approach to Valuation

2020 ◽  
Vol 24 (3) ◽  
pp. 371-375
Author(s):  
M. Sriram
Keyword(s):  
Decision Making ◽  
Stock Price ◽  
Banking Sector ◽  
Capital Adequacy ◽  
Residual Income ◽  
Cost Of Equity ◽  
Return On Assets ◽  
Valuation Method ◽  
Residual Income Valuation ◽  
Capital Adequacy Ratio

The case study is about the valuation of one of the profitable banks in southern India, City Union Bank Ltd (CUB). The bank was adjudged as the ‘best small bank’ by BusinessWorld’s Best Banks Survey 2016. The bank has seen a meteoric rise in its stock price during the period 2013–2017 and outperformed other banks in the industry in terms of non-performing assets (NPA), return on assets, capital adequacy ratio (CAR) and so on. The stock has been attracting the attention of the investing fraternity. An analyst is assigned the job of valuing CUB’s stock. Residual income valuation method is employed for valuation and facilitates in decision-making. The valuation exercise involves projection of financials and estimation of cost of equity, terminal growth rate and residual income. The case also considers other key parameters associated with the banking sector in decision-making.

scholarly journals What Determines Residual Income?

2005 ◽  
Vol 80 (1) ◽  
pp. 85-112 ◽  
Author(s):  
Qiang Cheng
Keyword(s):  
Explanatory Power ◽  
Residual Income ◽  
Empirical Measure ◽  
Barriers To Entry ◽  
Firm Level ◽  
Return On Equity ◽  
Conservative Accounting ◽  
Residual Income Valuation ◽  
The Difference ◽  
The Impact

This paper investigates the determinants of residual income scaled by book value of equity, i.e., abnormal return on equity (ROE), by analyzing the impact of value-creation (economic rents) and value-recording (conservative accounting) processes on abnormal ROE. I rely on economic theories to characterize economic rents and develop an empirical measure—the conservative accounting factor—to capture the effect of conservative accounting. As expected, industry abnormal ROE increases with industry concentration, industry-level barriers to entry, and industry conservative accounting factors. Also as expected, the difference between firm and industry abnormal ROE increases with market share, firm size, firm-level barriers to entry, and firm conservative accounting factors. Integrating these determinants into the residual income valuation model significantly increases its explanatory power for the variation in the market-to-book ratio.

Implementing Residual Income Valuation With Linear Information Dynamics

1999 ◽  
Vol 74 (1) ◽  
pp. 1-28 ◽  
Author(s):  
James N. Myers
Keyword(s):  
Time Series ◽  
Firm Value ◽  
Residual Income ◽  
Accounting System ◽  
Information Dynamics ◽  
No Arbitrage ◽  
Book Value ◽  
Residual Income Valuation ◽  
Accounting Numbers ◽  
Linear Information

Residual income (RI) valuation is a method of estimating firm value based on expected future accounting numbers. This study documents the necessity of using linear information models (LIMs) of the time series of accounting numbers in valuation. I find that recent studies that make ad hoc modifications to the LIMs contain internal inconsistencies and violate the no arbitrage assumption. I outline a method for modifying the LIMs while preserving internal consistency. I also find that when estimated as a time series, the LIMs of Ohlson (1995), and Feltham and Ohlson (1995) provide value estimates no better than book value alone. By comparing the implied price coefficients to coefficients from a price level regression, I find that the models imply inefficient weightings on the accounting numbers. Furthermore, the median conservatism parameter of Feltham and Ohlson (1995) is significantly negative, contrary to the model's prediction, for even the most conservative firms. To explain these failures, I estimate a LIM from a more carefully modeled accounting system that provides two parameters of conservatism (the income parameter and the book value parameter). However, this model also fails to capture the true stochastic relationship among accounting variables. More complex models tend to provide noisier estimates of firm value than more parsimonious models.

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