An empirical re-examination of the dividend-investment relation

被引:7
作者
Mougoue, Mbodja [1 ]
机构
[1] Wayne State Univ, Sch Business Adm, Dept Business, Detroit, MI 48202 USA
关键词
applied investment analysis; applied finance; applied econometrics; financial econometrics;
D O I
10.1080/14697680701458026
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Modigliani and Miller show that, in perfect capital markets, the optimal investment decisions of a firm are not affected by how these investments are financed. Miller and Modigliani further imply that, under the assumption of perfect capital markets, a firm's investment decisions are not affected by its dividend decisions, although dividend decisions may or may not be influenced by investment decisions. Fama and Miller label this result the separation principle. Most recent studies of the separation principle that take into account the existence of market imperfections report sharply contradictory results. This paper tests for linear and nonlinear causality between dividends and investments using both firm-specific and aggregate data for a sample of 417 firms over the 1962 to 2004 period. In general, linear causality tests support the separation principle, whereas nonlinear causality test results contradict the separation principle by revealing strong bi-directional linkages between dividends and investments.
引用
收藏
页码:533 / 546
页数:14
相关论文
共 52 条
[21]   Disappearing dividends: changing firm characteristics or lower propensity to pay? [J].
Fama, EF ;
French, KR .
JOURNAL OF FINANCIAL ECONOMICS, 2001, 60 (01) :3-43
[22]  
FAMA EF, 1974, AM ECON REV, V64, P304
[23]   MONETARY-POLICY, BUSINESS CYCLES, AND THE BEHAVIOR OF SMALL MANUFACTURING FIRMS [J].
GERTLER, M ;
GILCHRIST, S .
QUARTERLY JOURNAL OF ECONOMICS, 1994, 109 (02) :309-340
[24]   COMPARING ALTERNATIVE TESTS OF CAUSALITY IN TEMPORAL SYSTEMS - ANALYTIC RESULTS AND EXPERIMENTAL-EVIDENCE [J].
GEWEKE, J ;
MEESE, R ;
DENT, W .
JOURNAL OF ECONOMETRICS, 1983, 21 (02) :161-194
[25]  
GEWEKE J, 1984, HDB ECONOMETRICS
[26]   INVESTIGATING CAUSAL RELATIONS BY ECONOMETRIC MODELS AND CROSS-SPECTRAL METHODS [J].
GRANGER, CWJ .
ECONOMETRICA, 1969, 37 (03) :424-438
[27]  
Granger CWJ, 1986, FORECASTING EC TIME
[28]  
GRULLON G, 2000, DIVIDENDS SHAR UNPUB
[29]   TESTING FOR LINEAR AND NONLINEAR GRANGER CAUSALITY IN THE STOCK PRICE-VOLUME RELATION [J].
HIEMSTRA, C ;
JONES, JD .
JOURNAL OF FINANCE, 1994, 49 (05) :1639-1664
[30]  
Hiemstra C., 1993, MONTE CARLO RESULTS