Lintner's Partial-Adjustment Model of Corporate Dividends: A Cross-Country Analysis

2008 ◽  
Author(s):  
Janice C. Y. How ◽  
Peter Verhoeven
2020 ◽  
Vol 3 (2) ◽  
pp. 345-354
Author(s):  
Devilia Sitorus ◽  
Crisanty Sutristyaningtyas Titik

This study aims to examine the relationship between capital flow liberalization and economic growth in ASEAN-5. This research is a quantitative study that uses data: GDP, Gross Capital Formation, financial disclosure seen from the Chinn-Ito index for the period 2000-2017 in 5 ASEAN countries namely Indonesia, Malaysia, the Philippines, Singapore, and Thailand. Data were processed using panel data regression analysis and specifically for Indonesia, Partial Adjustment Model (PAM) regression was performed. The results of this study indicate that financial openness seen from the Chinn-Ito index has a negative and significant influence on the economic growth of ASEAN-5 countries. Capital flows have a positive and significant impact on the economic growth of ASEAN-5 countries. Meanwhile, the PAM (Partial Adjustment Model) regression model shows that capital flows have a positive and significant influence on Indonesia's economic growth both in the short and long term, while financial openness has a negative and significant impact on Indonesia's economic growth both in the short and long term.


2021 ◽  
Vol 8 (2) ◽  
pp. 83-88
Author(s):  
Fildzah Fitria ◽  
Khaira Amalia Fachrudin ◽  
Amlys Syahputra Silalahi

This study aims to determine the determinants of the capital structure of the Lippo Group and the Bakrie Group listed on the Indonesia Stock Exchange using the partial adjustment model approach. The population in the Lippo Group company is 12 and the population at the Bakrie Group company is 9. The sample of this study is that all companies listed on the Indonesia Stock Exchange are 21 companies. Data analysis used panel data regression method with partial adjustment model approach. The results of the research in the t test at the Lippo Group company show that the lag leverage has a positive and insignificant effect on leverage, profitability has a positive and significant effect on leverage, company size has a positive and insignificant effect on leverage, earning volatility has a positive and significant effect on leverage, assets tangibility has a positive and significant effect on leverage and growth opportunity has a positive and insignificant effect on leverage. The results of the research in the t test at the Bakrie Group company show that the lag leverage has a positive and insignificant effect on leverage, profitability has a positive and insignificant effect on leverage, company size has a positive and insignificant effect on leverage, earning volatility has a positive and insignificant effect on leverage, assets tangibility has a negative and insignificant effect on leverage, growth opportunity has a negative and insignificant effect on leverage. The partial adjustment model test results show that only Lippo Group company on the variables of profitability, earning volatility and assets tangibility have a significant positive effect on leverage. The results of the comparison of the optimal capital structure show that the Bakrie Group has a higher level of optimal capital structure by 83% than the Lippo Group at 55%. Keywords: Lag Leverage, Profitability, Company Size, Earning Volatility, Assets Tangibility, Growth Opportunity, Leverage.


2010 ◽  
Vol 42 (4) ◽  
pp. 791-803 ◽  
Author(s):  
Jeffrey H. Dorfman ◽  
Berna Karali

Hedging is one of the most important risk management decisions that farmers make and has a potentially large role in the level of profit eventually earned from farming. Using panel data from a survey of Georgia farmers that recorded their hedging decisions for 4 years on four crops, we examine the role of habit, demographics, farm characteristics, and information sources on the hedging decisions made by 57 different farmers. We find that the role of habit varies widely and that estimation of a single habit effect suffers from aggregation bias. Thus, modeling farmer-level heterogeneity in the examination of habit and hedging is crucial.


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