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    기업의 지리적 위치와 재무분석가의 수 및 이익예측오차와의 관계 = Firm Location, Analyst Following, and Bias in Analysts' Earnings Forecasts

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    https://www.riss.kr/link?id=A104296095

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study investigates the association between firm location and analysts following as well as direction of the errors included in the earnings forecasts issued by financial analysts. Firm location is measured by an indicator variable representing whether the firm's headquarter is located in urban (i.e., urban firms) or rural (i.e., rural firms) areas. The error in the earnings forecasts indicates the difference between financial analysts' forecasts issued and corresponding actual ex post earnings of the firms.
    Up to now, there has been voluminous research on the effect of location of various organizations or individuals with respect to diverse issues. For example, Coval and Moskowitz(1999), Loughran and Schultz(2004), Ivkovic and Weisbenner(2005), Kang and Kim(2008), and Teo(2009) report that individual or institutional investors are more likely to invest in firms located nearby. Because most of investors live in urban areas and headquarters of the firms are also more likely to be located in the urban areas, this kind of close distance between investors (and other stakeholders)and firms can influence the decision making of the investors with respect to the firm(Loughran and Schultz 2004). Similarly, Kedia and Rajgopal(2006) reports that the distance between regulators and firms are closely related to the degree of monitoring and thus the probability that a firm commit accounting fraud. Choi et al.(2006) also argues that the distance between auditors and the client firms are also related to both audit quality and audit fees. These are clear evidence supporting the argument that geographical location is an important factor on management decision as well as investor's decision.
    In Korean context, the firms located in Seoul or Kyunggi (including Incheon) areas are surrounded by majority of investors who live nearby. The population in this area enjoy greater income and spending than the population live in other areas in Korea. These urban investors and stakeholders pay close attention to the behaviors of the firms and are likely to invest in the firms located nearby. In contrast, there are not many people who live in rural areas and they are less likely to invest in stock market than the people who live in urban areas do(Nam and Choi 2009).
    As a result, one may say that urban firms are more likely to communicate closely with urban population than rural firms do so with rural population.
    Because urban investors have great interest in urban firms, they may demand more information on the urban firms than rural firms. Lang and Lundholm(1996) and Barth et al.(2001) suggest that financial analysts are more likely to follow a firms that investors have greater interests in and update their forecast for those firms. Thus, if a firm's urban location induce greater interests of investors, it is expected that the number of analysts following the firm increases for the urban firms. We empirically test this prediction as the first hypothesis.
    Next, we examine whether there exist any association between the firm location and errors in analysts' earnings forecasts. Prior studies in analysts' forecast argue that firms that receive greater attention from outside parties may have incentives to provide more affirmative and optimistic information to please the outsiders(Graham et al. 2005). In addition, from the view point of financial analysts, they compete with other analysts and closely observed by outside stakeholders who want more information on the firm. Thus, they have incentives to seek for more accurate information and thus need to maintain close relationship with firms to receive up-to-date information. Das et al.(9998) suggests that one way for a financial analyst to maintain a close relationship with the firm is to issue optimistic forecasts in the long run. If this explanation is true, it is expected that analysts' earnings forecasts for urban firms are more likely to be biased optimistically compared with those for rural firms. ...
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    This study investigates the association between firm location and analysts following as well as direction of the errors included in the earnings forecasts issued by financial analysts. Firm location is measured by an indicator variable representing wh...

    This study investigates the association between firm location and analysts following as well as direction of the errors included in the earnings forecasts issued by financial analysts. Firm location is measured by an indicator variable representing whether the firm's headquarter is located in urban (i.e., urban firms) or rural (i.e., rural firms) areas. The error in the earnings forecasts indicates the difference between financial analysts' forecasts issued and corresponding actual ex post earnings of the firms.
    Up to now, there has been voluminous research on the effect of location of various organizations or individuals with respect to diverse issues. For example, Coval and Moskowitz(1999), Loughran and Schultz(2004), Ivkovic and Weisbenner(2005), Kang and Kim(2008), and Teo(2009) report that individual or institutional investors are more likely to invest in firms located nearby. Because most of investors live in urban areas and headquarters of the firms are also more likely to be located in the urban areas, this kind of close distance between investors (and other stakeholders)and firms can influence the decision making of the investors with respect to the firm(Loughran and Schultz 2004). Similarly, Kedia and Rajgopal(2006) reports that the distance between regulators and firms are closely related to the degree of monitoring and thus the probability that a firm commit accounting fraud. Choi et al.(2006) also argues that the distance between auditors and the client firms are also related to both audit quality and audit fees. These are clear evidence supporting the argument that geographical location is an important factor on management decision as well as investor's decision.
    In Korean context, the firms located in Seoul or Kyunggi (including Incheon) areas are surrounded by majority of investors who live nearby. The population in this area enjoy greater income and spending than the population live in other areas in Korea. These urban investors and stakeholders pay close attention to the behaviors of the firms and are likely to invest in the firms located nearby. In contrast, there are not many people who live in rural areas and they are less likely to invest in stock market than the people who live in urban areas do(Nam and Choi 2009).
    As a result, one may say that urban firms are more likely to communicate closely with urban population than rural firms do so with rural population.
    Because urban investors have great interest in urban firms, they may demand more information on the urban firms than rural firms. Lang and Lundholm(1996) and Barth et al.(2001) suggest that financial analysts are more likely to follow a firms that investors have greater interests in and update their forecast for those firms. Thus, if a firm's urban location induce greater interests of investors, it is expected that the number of analysts following the firm increases for the urban firms. We empirically test this prediction as the first hypothesis.
    Next, we examine whether there exist any association between the firm location and errors in analysts' earnings forecasts. Prior studies in analysts' forecast argue that firms that receive greater attention from outside parties may have incentives to provide more affirmative and optimistic information to please the outsiders(Graham et al. 2005). In addition, from the view point of financial analysts, they compete with other analysts and closely observed by outside stakeholders who want more information on the firm. Thus, they have incentives to seek for more accurate information and thus need to maintain close relationship with firms to receive up-to-date information. Das et al.(9998) suggests that one way for a financial analyst to maintain a close relationship with the firm is to issue optimistic forecasts in the long run. If this explanation is true, it is expected that analysts' earnings forecasts for urban firms are more likely to be biased optimistically compared with those for rural firms. ...

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    참고문헌 (Reference)

    1 정석우, "회계이익의 지속성이 재무분석가의 이익예측오차와 이익예측 정확성에 미치는 영향" 30 (30): 209-235, 2005

    2 정석우, "재무분석가의 분석기업 결정과 예측특성에 영향을 미치는 요인" 한국회계학회 28 (28): 61-84, 2003

    3 정석우, "재무분석가 및 분석대상기업의 기업집단소속여부에 따른 이익예측치 및 투자추천의견의 특성" 한국공인회계사회 (44) : 27-55, 2006

    4 전규안, "기타포괄손익과 재무분석가의 이익예측오차 사이의 관련성에 관한 연구" 한국회계학회 32 (32): 141-172, 2007

    5 Loughran, T., "Weather, stock returns, and the impact of localized trading behavior" 39 : 343-364, 2004

    6 Hambley, L. A., "Virtual team leadership:The effects of leadership style and communication medium on team interaction styles and outcomes" 103 (103): 1-20, 2007

    7 Hinds, P. J., "Understanding conflict in geographically distributed teams:The moderating effects of shared identity, shared context, and spontaneous communication" 16 (16): 290-307, 2005

    8 Burtton, K., "Transport and industrial and commercial location" 29 : 189-206, 1995

    9 Richardson, S., "The walk-down to beatable analyst forecasts:The role of equity issuance and insider trading incentives" 21 (21): 885-924, 2004

    10 Leitham. S., "The influence of transport on industrial location choice:a stated preference experiment" 34 (34): 515-535, 2000

    1 정석우, "회계이익의 지속성이 재무분석가의 이익예측오차와 이익예측 정확성에 미치는 영향" 30 (30): 209-235, 2005

    2 정석우, "재무분석가의 분석기업 결정과 예측특성에 영향을 미치는 요인" 한국회계학회 28 (28): 61-84, 2003

    3 정석우, "재무분석가 및 분석대상기업의 기업집단소속여부에 따른 이익예측치 및 투자추천의견의 특성" 한국공인회계사회 (44) : 27-55, 2006

    4 전규안, "기타포괄손익과 재무분석가의 이익예측오차 사이의 관련성에 관한 연구" 한국회계학회 32 (32): 141-172, 2007

    5 Loughran, T., "Weather, stock returns, and the impact of localized trading behavior" 39 : 343-364, 2004

    6 Hambley, L. A., "Virtual team leadership:The effects of leadership style and communication medium on team interaction styles and outcomes" 103 (103): 1-20, 2007

    7 Hinds, P. J., "Understanding conflict in geographically distributed teams:The moderating effects of shared identity, shared context, and spontaneous communication" 16 (16): 290-307, 2005

    8 Burtton, K., "Transport and industrial and commercial location" 29 : 189-206, 1995

    9 Richardson, S., "The walk-down to beatable analyst forecasts:The role of equity issuance and insider trading incentives" 21 (21): 885-924, 2004

    10 Leitham. S., "The influence of transport on industrial location choice:a stated preference experiment" 34 (34): 515-535, 2000

    11 Coval, J., "The geography of investment:informed trading and asset prices" 109 : 811-841, 2001

    12 Teo, M., "The geography of hedge funds" 22 (22): 3531-3561, 2009

    13 Malloy, C., "The geography of equity analysts" 60 : 719-755, 2005

    14 Kang, J. -K., "The geography of block acquisitions" 63 (63): 2817-2858, 2008

    15 Graham, J. R., "The economic implications of corporate financial reporting" 40 : 3-73, 2005

    16 Heckman, J. J., "The common structure of statistical models of truncation, sample selection, and limited dependent variables and a simple estimator for such models" 5 : 475-492, 1976

    17 Hong, H., "Social interaction and stock market participation" 59 : 137-163, 2004

    18 McNichols, M., "Self-selection and analyst coverage" 35 : 167-199, 1997

    19 Massa, M., "Portfolio diversification and city agglomeration" Working Paper, INSEAD 2004

    20 Kasznik, R., "On the association between voluntary disclosure and earnings management" 37 (37): 57-81, 1999

    21 Matsumoto, D., "Management's incentives to avoid negative earnings surprise" 77 : 483-514, 2002

    22 Ivkovic, Z., "Local does as local is:information content of the geography of individual investors’ common stock investments" 60 : 267-306, 2005

    23 Loughran, T., "Liquidity:Urban versus rural firms" 78 : 341-374, 2005

    24 Coval, J., "Home bias at home:Local equity preference in domestic portfolios" 54 : 2045-2073, 1999

    25 Kedia, S., "Geography and the Incidence of Financial Reporting" Working Paper, University of Washington 2006

    26 Loughran, T., "Geographic dissemination of information" 13 (13): 675-694, 2007

    27 Affleck-Graves, "Forecasts of earnings per share:possible sources of analyst superiority and bias" 6 : 501-517, 1990

    28 Bhushan, R, "Firm characteristics and analyst following" 11 : 255-274, 1989

    29 Doherty-Sneddon, G., "Face -to-face and video-mediated communication:A comparison of dialogue structure and task performance" 3 (3): 105-125, 1997

    30 McNichols, M., "Evidence of informational asymmetries from management earnings forecasts and stock returns" 64 (64): 1-27, 1989

    31 Gu, Z., "Earnings skewness and analyst forecast bias" 35 (35): 5-29, 2003

    32 Das, S., "Earnings predictability and bias in analysts' earnings forecasts" 73 : 277-294, 1998

    33 Burgstahler, D., "Earnings management to avoid losses and earnings decreases :Are analysts fooled?" 20 : 253-294, 2003

    34 Butler, A. W., "Distance still matters:Evidence from municipal bond underwriting" 21 : 763-784, 2008

    35 Elsewarapu, V., "Demography and intensity of stock trading:The effect of social interaction" Working Paper, Oppenheimer Funds Inc 2004

    36 Lang, M., "Corporate disclosure policy and analyst behavior" 71 : 467-492, 1996

    37 Baltas, B. B., "Computermediated communication and group decision making;A meta-analysis" 87 : 156-179, 2002

    38 Choi, J. -H., "Auditor locality, audit quality, and audit pricing" Working Paper. City University of Hong Kong 2010

    39 Behn, B., "Audit quality and properties of analysts' earnings forecasts" 83 : 327-349, 2008

    40 Bail, B., "Are affiliated analysts more likely than unaffiliated analysts to provide EPS forecasts that management can meet or beat?" Working Paper, Seoul National University 2010

    41 O’Brien, P. C., "Analyst following and institutional ownership" 28 : 55-76, 1990

    42 Barth, M. E., "Analyst coverage and intangible assets" 39 : 1-34, 2001

    43 Penman, S., "An empirical investigation of the voluntary disclosure of corporate earnings forecasts" 18 (18): 132-160, 1980

    44 Barber, B. M., "All that glitters:The effect of attention and news on the buying behavior of individual and institutional investors" 21 : 785-818, 2008

    45 Grullon, G., "Advertising, breadth of ownership, and liquidity" 17 : 439-461, 2004

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