In hotel REITs, are institutional investors beneficial for firm value?

2020 ◽  
pp. 135481662090870
Author(s):  
Soyon Paek ◽  
Jin-Young Kim ◽  
Sung Gyun Mun ◽  
Chulhee Jun
Keyword(s):  
Least Squares ◽  
Random Effects ◽  
Institutional Investors ◽  
Firm Value ◽  
Negative Relationship ◽  
Institutional Ownership ◽  
Ordinary Least Squares ◽  
Random Effects Models ◽  
Fixed And Random Effects ◽  
Quadratic Models

Motivated by growing attention to the agency problems of institutional investors, along with recent changes that have identified real estate investment trusts (REITs) as a separate industry segment, this study investigates the impacts of institutional ownership on the firm value of hotel REITs. Hotel REITs provide unique regulatory and operational settings in which it is appropriate to investigate the potential adverse consequences of institutional investments on firm value. This study performs additional analyses using non-REIT hotel corporations (hotel C-corporations) for comparison. After testing pooled ordinary least squares, fixed and random effects, and two-stage least squares in quadratic models, the results of the random effects models are found to be valid and are thus adopted to examine the hypothesized relationship. The analysis showed a U-shaped relationship between institutional ownership and firm value (as measured using Tobin’s q) but a dominantly negative relationship in the majority of observations, whereas no significant relationship is found for hotel C-corporations.

scholarly journals Comparison of Competing Approaches to Analyzing Cross-Classified Data: Random Effects Models, Ordinary Least Squares, or Fixed Effects with Cluster Robust Standard Errors

2021 ◽  
Author(s):  
Young Ri Lee ◽  
James E Pustejovsky
Keyword(s):  
Least Squares ◽  
Random Effects ◽  
Fixed Effects ◽  
Good Alternative ◽  
Ordinary Least Squares ◽  
Alternative Methods ◽  
Least Squares Regression ◽  
Monte Carlo Simulation Study ◽  
Random Effects Models ◽  
Fixed Effects Regression

Cross-classified random effects modeling (CCREM) is a common approach for analyzing cross-classified data in education. However, when the focus of a study is on the regression coefficients at level one rather than on the random effects, ordinary least squares regression with cluster robust variance estimators (OLS-CRVE) or fixed effects regression with CRVE (FE-CRVE) could be appropriate approaches. These alternative methods may be advantageous because they rely on weaker assumptions than what is required by CCREM. We conducted a Monte Carlo Simulation study to compare the performance of CCREM, OLS-CRVE, and FE-CRVE in models with crossed random effects, including conditions where homoscedasticity assumptions and exogeneity assumptions held and conditions where they were violated. We found that CCREM performed the best when its assumptions are all met. However, when homoscedasticity assumptions are violated, OLS-CRVE and FE-CRVE provided similar or better performance than CCREM. FE-CRVE showed the best performance when the exogeneity assumption is violated. Thus, we recommend two-way FE-CRVE as a good alternative to CCREM, particularly if the homoscedasticity or exogeneity assumptions of the CCREM might be in doubt.

scholarly journals Institutional ownership and firm value: A study on BIST manufacturing index

Ekonomika ◽  
2020 ◽  
Vol 66 (4) ◽  
pp. 29-46
Author(s):  
Mesut Doğan
Keyword(s):  
Least Squares ◽  
Firm Value ◽  
Institutional Ownership ◽  
Equation System ◽  
Ordinary Least Squares ◽  
Simultaneous Equation ◽  
Positive Relation ◽  
Two Stage ◽  
Hausman Test ◽  
Simultaneous Equation System

The aim of this research is to test the relation between institutional ownership and firm value. To accomplish this aim, data from 104 firms listed in the BIST (i.e. Borsa Istanbul) industrial index between 2006 and 2018 have been used. Studies on the structure of ownership have problems with endogeneity. In order to avoid these problems, this study adopted Durbin-Wu-Hausman test with advanced econometric techniques, Ordinary Least Squares (i.e. OLS), and Two-Stage Least Squares (i.e. 2SLS). As a result of the simultaneous equation system improved in this study, a positive relation between institutional ownership as an endogenous variable, and firm value has been located. Besides, it has been found that institutional investors are more interested in the firms that have a higher market performance.

scholarly journals INST Institutional Ownership and Firm Value: A Study on the Bist Manufacturing Index

Ekonomika ◽  
2020 ◽  
Vol 99 (2) ◽  
pp. 59-75
Author(s):  
Mesut Doğan
Keyword(s):  
Least Squares ◽  
Firm Value ◽  
Institutional Ownership ◽  
Equation System ◽  
Ordinary Least Squares ◽  
Simultaneous Equation ◽  
Positive Relation ◽  
Two Stage ◽  
Hausman Test ◽  
Simultaneous Equation System

The aim of this research is to test the relation between institutional ownership and firm value. To accomplish this aim, data from 104 firms listed in the BIST (i.e. Borsa Istanbul) industrial index between 2006 and 2018 have been used. Studies on the structure of ownership have problems with endogeneity. In order to avoid these problems, this study adopted Durbin-Wu-Hausman test with advanced econometric techniques, Ordinary Least Squares (i.e. OLS), and Two-Stage Least Squares (i.e. 2SLS). As a result of the simultaneous equation system improved in this study, a positive relation between institutional ownership as an endogenous variable, and firm value has been located. Besides, it has been found that institutional investors are more interested in the firms that have a higher market performance.

scholarly journals The Impact of Working Capital Management on Profitability: The Case of Small and Medium-Sized Export Companies in Tunisia

2011 ◽  
Vol 15 (3) ◽  
pp. 71-88 ◽  
Author(s):  
Meryem Bellouma
Keyword(s):  
Negative Relationship ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Random Effects Models ◽  
Accounts Receivable ◽  
Cash Conversion Cycle ◽  
Fixed And Random Effects ◽  
Financial Decision ◽  
The Impact

Working capital is an important component in the financial decision of the company. An optimal working capital management is reached through a trade off between profitability and liquidity. This study aims to provide empirical evidence about the effects of working capital management on the profitability of 386 Tunisian export SMEs observed from 2001 to 2008. The results of fixed and random effects models show a negative relationship between corporate profitability and the different working capital components. This reveals that Tunisian export SMEs should shorten their cash conversion cycle by reducing the number of days of accounts receivable and inventories to increase their profitability.

scholarly journals The Contribution of Foreign Direct Investment (FDI) To Domestic Employment Levels in South Africa: A Vector Autoregressive Approach

2019 ◽  
Vol 11 (1(J)) ◽  
pp. 110-121
Author(s):  
Bongumusa Prince Makhoba, ◽  
Irrshad Kaseeram
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Least Squares ◽  
South African ◽  
Empirical Analysis ◽  
Negative Relationship ◽  
Ordinary Least Squares ◽  
Series Data ◽  
The South ◽  
Vector Autoregressive

Several empirical works have yielded mixed and controversial results with regard to the effects of FDI on employment and economic growth. The primary focus of this study is to investigate the contribution of FDI to domestic employment levels in the context of the South African economy. The analyses of the study were carried out using the annual time series data from 1980 to 2015. The macroeconomic variables employed in the empirical investigation include employment, FDI, GDP, inflation, trade openness and unit labour costs. The study used secondary data from the South African Reserve Bank and Statistics South Africa database. The study estimated a Vector Autoregressive/ Vector Error Correction Mechanism (VAR/VECM) approach to conduct empirical analysis. However, the study also employed single equation estimation techniques, including the Ordinary Least Squares (OLS), Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and Canonical Cointegrating Regression (CCR) models as supporting tools to verify the VAR/VECM results. This study provides strong evidence of a significant negative relationship between FDI and employment levels in the South African economy. Empirical analysis of the study suggests that the effect of economic growth on employment is highly positive and significant in South Africa’s economy. The study recommends that policymakers ought to invest more in productive sectors that aim to promote economic growth and development to boost employment opportunities in South Africa.

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