3. LITERATURE REVIEW



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3. LITERATURE REVIEW Fama (1998) argues that over-reaction of some events and under-reaction to others implies that investors are unbiased in their reaction to information, and thus behavioral models cannot explain long-term abnormal return. Of the past literature in finance, IPO, SEO, distribution or cancellation of cash dividend, stock repurchase, and merger and acquisition, have been broadly researched to see if the market over-acts or under-reacts to the event. However, there is no consensus on the conclusion among researchers. In this study, we chose the application of SFAS No. 35 about asset impairment as the research topic because SFAS No.35 is a new accounting practice in Taiwan, while it has attracted attention of researchers in America. For example, Alciatore et al. (2000) investigated assets write-downs of oil and gas firms due to the application of the SEC full-cost ceiling tests during the period of the largest decline in oil and gas prices, and they found that the market perceived that some of the decline in asset value occurred in the quarter in which the loss amount was recorded. Hirschey and Richardson (2003) concluded that investors initially under-react to goodwill write-down announcements and they become aware of the potential for further losses in the post-announcement period. 3.1 Positive or Negative Market Reaction Early studies have conjectured a positive market reaction to the impairment announcement, but they do not provide concrete evidence to prove the argument. Also some pointed out that the surprise nature of write-downs and the failure of write-down firms to warn the users of the financial statements before the announcement are the two explanations of why such impairment announcements are viewed as negative news. With the evolution of accounting standards, more and more researchers have focused on the market reaction of write-downs. Zucca (1992) examined firms with discretionary 18

write-down announcements spanning from 1978 to 1983 and found no significant evidence of positive stock market reaction. Bunsis (1997) was the first to link cash flows to stock market reaction. He separated the sample data according to the impact of write-down on the expected cash flow in the future. Operating decision and reorganizations were assumed to have negative cash-flow effect due to severance payments as a majority of the write-down amount. Discontinuations, disposal of unprofitable segments or product lines, led to positive market reaction. Asset write-downs were of no cash-flow effect. The general conclusion was that the market reacted negatively (positively) to events that were expected to decrease (increase) expected future cash flows. Because write-downs are one-time accounting adjustments that decrease the carrying values of assets and have no impact on future cash flows, investors will eventually split out the negative effect on net income and pay attention to the earnings before special items like write-down. Elliott and Hanna s (1996) study showed that though investors reacted negatively to the write-down announcement, the weight attached to the write-downs was significantly less than the weight attached to unexpected earnings before write-offs, suggesting that investors viewed write-downs as finite-horizon events instead of recurring events. 3.2 Interest Rate Factor The study of interest rate risk originated with Stone s (1974) development of a two-index model to estimate market risk. His research showed that financial institutions stock returns display significant sensitivity to interest rate risks. Lloyd and Shick (1977) extended Stone s research and used real samples (one sample set contains 60 large commercial banks, and the other contains 30 firms included in the Dow Jones Industrial Average) to test Stone s two-index model of returns. Event study method has been used to assess the impact of deregulation on financial institutions and other industries. Interest 19

rate is treated as an important factor in the model (e.g., Graddy et al., 2004, Madura and Schnusenberg, 2000). Empirical research has found that inclusion of an interest rate factor adds substantial explanatory power to the simple single-market model (Flannery and James, 1984). Joseph and Vezos (2006) listed several reasons why interest rate and foreign exchange (FX) rate changes are key factors of stock price performance. First, interest rate and FX rate changes have been shown to directly affect the revenues and costs of financial institutions. Second, banks can affect their exposure to interest rate and FX rate changes when they act as financial intermediaries for their clients. Finally, the nominal contracting hypothesis has also been used to explain the interest rate sensitivity of banks, given also the composition of their balance sheets. Interest rate theoretically affects the value of non-financial corporations as well due to changes in the cash flows and the value of their financial assets and liabilities (Bartram, 2002). Interest rate movements are closely related to changes in the business cycle of the economy, and they influence through the cost of capital the investment behavior of firms. In addition, there may be indirect effects of interest rate risk on the competitive position of firms (e.g., the value of real assets and projects that might occur), impacting the size of their future cash flows and thus the firm value. 3.3 Industry Factor Write-downs are often the results of environmental and industry factors rather than only firm-specific causes (Fred et al., 1989). Firms in an industry group tend to perform at a poorer level than the overall economy in some time, but their performance would reverse later. In Taiwan, the phenomenon of industry rotation is obvious. Investors are prone to relate news (e.g., whether it is financial or non-financial) to the industry that are possible to be affected the most, and their guess would quickly reflect on the stock price of any 20

company in the specific industry. This is why stock price fluctuates a lot in Taiwan. In the study, an industry factor will be introduced to the traditional market model to assess its influence on stock price performance. 3.4 Partition The characteristics of written-down assets and written-down firms are two main reasons why the market reacts differently to the accounting earnings announcement. In the research of Alciatore et al. (2000), the authors identified the samples of firms that recorded a write-down in two consecutive quarters and only examined the second consecutive write-down only, for the correlation was expected to be higher between the write-down amounts and contemporaneous returns for these sub-samples. Zucca (1997), when inspecting write-downs of different cash flow effects, also reported stock market reactions based on the size of the write-down amount. The finding was that the market viewed asset write-downs as non-cash events that do not lead to significant stock market reaction, but reacted to the income effect (i.e., the decrease of earnings resulting from impairment loss) of the announcement. Bartov et al. (1998) too partitioned write-down announcements into asset write-down category and operating decisions category. The former is assumed to be bad news, for it is not fully anticipated by the market (i.e., declines in economic values of assets), whereas the latter is a mixture of good news (i.e., efforts to increase efficiency and profitability) and bad news (i.e., charges against earnings). The explanation of small stock price reaction is the pre-reaction before the actual announcement (i.e., fine-tuning effect) and investors anticipation of more information (i.e., gradual adjustment effect). Yan and Ding s (2006) research in Taiwan is the first to sum up the characteristics of the impairment announcements and the firms to announce asset impairments. They made statistics data to make inference for some issues. The samples used were the firms that 21

announced asset impairments in 2004. The points and observation brought up in their research are, 1. The motivation to apply SFAS No.35 ahead of time is worthy of further research; 2. The impact of SFAS No.35 application on EPS and equity per share is various among firms; 3. Firms with a higher percentage of long-term investment or book value on the book are more likely to be affected; 4. Firms in the electric industry are comparably more affected than firms in other industries; 5. Most firms fail to disclose the parameters they use to judge whether impairment has happened or to calculate the impairment. The table below summarizes the literatures mentioned in this chapter: Alciatore et. al (2000) Bartov et al. (1998) Bartram (2002) Bunsis (1997) Elliott and Hanna (1996) Author Purpose Result To investigate write-downs of assets of oil and gas firms due to the application of the SEC full-cost ceiling test during the period of the largest decline in oil and gas prices since the test was mandated. To examine the association between asset write-downs and the stock-price response To investigate the impact of interest rate risk on a large sample of non-financial corporations. To determine if the cash flow implications of write-down announcements lead to stock market reactions that are consistent with those implications. To examine the (incremental) information content of earnings conditional on the presence of large non-recurring or unusual charges. Although the market perceived that some of the decline in asset value occurred in the quarter in which the write-down was recorded, much of the share market price adjustment due to this decline occurred earlier. - Price declines precede write-down announcements. - Abnormal returns continue to decline after the announcement. - Non-financial firms exhibit interest rate exposures with regard to domestic interest rates. - Most sample firms exhibit a significant nonlinear exposure component. The market reacts negatively (positively) to events that are expected to decrease (increase) expected future cash flows. Earnings response coefficients (ERC) generally decrease in the presence of write-downs and remain relatively low for some period thereafter. Flannery and James (1984) To examine the relation - Common stock returns are correlated with 22

Fred et al. (1989) Hirschey and Richardson (2003) Joseph and Vezos (2006) Lloyd and Shick (1997) Stone (1974) Yan and Ding (2006) Zucca (1992) between the interest rate sensitivity of common stock return and the maturity composition of the firm s nominal contracts. To study: 1. the disclosure, timing, and valuation of write-downs, 2. early warning signals of potential write-downs, and 3. the reaction of the stock market to write-downs. To study the stock price behavior during pre- and postgoodwill write-down announcement periods spanning long windows. To investigate the impact of foreign exchange and interest rate changes on US banks stock returns. To empirically test Stone s (1974) Two-Index Model. To fulfill the incomplete treatment of systematic interest-rate effects inherent in a single-index model. To study the impact of SFAS No.35 application on a firm financial statements. Samples include public firms that apply SFAS No.35 in 2004. To fill the void in previous studies by providing information focusing only on discretionary asset write-downs and study the characteristics of write-down assets and write-down firms. interest rate changes. - The co-movement of stock returns and interest rate changes is positively-related to the size of the maturity difference between the firm s nominal and liabilities. - Incidence of prior or coincident changes in depreciation method does not provide a earning as to firms announcing write-downs. - EPS and ROA declined before write-down announcements and recovered after announcements. - Write-downs firms were inefficient in asset use. - Goodwill write-downs convey economically meaningful information to investors about a reduction in the company s future profit-making ability. - Investors partially anticipate goodwill write-downs, and tend to under-react to goodwill write-downs. - The market index return accounts for most of the variation in stock returns at both the individual bank and portfolio levels. - The degree of sensitivity of the stock return to interest rate and FX rate changes is not very pronounced despite the use of high frequency data. - Adding a bond index term for the bank sample only marginally improves the model s explanatory power. - The bond index improves in performance for the 30 Dow Jones firms and contributes to the explanatory power of the model in 80 percent of the cases. - There is some instability in signs and, contrary to Stone s speculations, omission of the bond index does not bias the equity beta estimates. A two-index model involving return on the equity and debt markets is a useful framework for quantifying the concept of systematic interest-rate risk. The issues of industry/firm characteristics, earnings management, write-down asset types, and financial transparency are to be solved. - The number of events located during the test period is low of 1981 to 1983 is low. - The write-downs occur primarily in the 4 th quarter of the fiscal year. - The majority of the firms wrote down assets in a big-bath period. - The write-downs are not a precursor of improved financial health for the firm. 23