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The purpose of this paper is to measure the effects of corporate financial performance toward the influences of corporate growth and company asset utilization on the corporate market value.

This research is an explanatory research that describes the influences of one or more variables on other variables based on secondary data. This research took place in Indonesia and was carried out from 2011 to 2016.

The findings of this study are corporate growth has a significant influence on the corporate market value, implying that companies should consider the short-term and long-term profitabilities before making any investment decision; asset utilization has been confirmed to have a positive and significant influence on financial performance. Insights into asset utilization effectiveness and efficiency are important for company managers to consider in making strategic decisions upon operational activities of the company. Also, financial performance has a positive and significant influence on the corporate market value.

Research originality offered in this research is in the form of empirical evidence upon the influence of company asset utilization on the financial performance and corporate market value of a company. The finding of this research is expected to provide a better understanding on the role of company asset utilization in determining corporate financial performance which is known to be certain.

Purpose: In reality, financial decisions are made under conditions of asymmetric information that results in either favorable or adverse selection. As far as financial decisions affect growth of the firm, the latter must also be affected by either favorable or adverse selection. Therefore, the core objective of this chapter is to examine the determinants of each financial decision and the effects on growth of the firm under conditions of information asymmetry.

Design/Methodology/Approach: This chapter uses data for the non-financial firms listed in S&P 500. The data cover quarterly periods from 1989 to 2014. The statistical tests include linearity, fixed, and random effects and normality. The generalized method of moments estimation method is employed in order to examine the relative significance and contribution of each financial decision on growth of the firm, respectively. Standard and proposed proxies of information asymmetry are discussed.

Findings: The results conclude that there is a variation in the impact of financial variables on growth of the firm at high and low levels of information asymmetry especially regarding investment and financing decisions. A similar picture emerges in the cases of firm size and industry effects. In addition, corporate dividen d policy has a similar effect on firm growth across all asymmetric levels. These findings prove that information asymmetry plays a vital role in the relationship between corporate financial decisions and growth of the firm. Finally, the results contribute to the vast literature on the estimation of information asymmetry by demonstrating that the classical and standard proxies for information asymmetry are not consistent in terms of the ability to differentiate between favorable or adverse selection (which corresponds to low and high level of information asymmetry).

Originality/Value: This chapter contributes to the related literature in two ways. First, this chapter offers updated empirical evidence on the way that financing, investment, and dividends decisions are made under conditions of favorable and adverse selection. Other related studies deal with each decision separately. Second, the study offers new proxies for measuring information asymmetry in order to reach robust estimates of the effects of financial decisions on growth of the firm under conditions of agency problems.

For most companies, growth measures such as asset growth are positively correlated with accrual measures. Just like investment in fixed assets, current accrual represents one form of investment and is an integral part of a firm’s business growth. This makes it difficult to distinguish between the growth-based and earnings quality-based interpretations of the accrual effects, because high accruals can represent both high growth and inflated earnings. The purpose of this paper is to add to the literature by examining an issue that has not received much attention: the correlation between asset growth and accruals and its implication on stock return predictability. The authors address the issue using Fama and Macbeth’s (1973) cross-sectional regressions that are conditional on the correlations between the two variables.

The authors partition firms based on whether the correlation between current accrual and asset growth in the past five years is positive (ρ+) or negative (ρ−). The authors refer to these two types of firms such as “positive correlation” and “negative correlation” groups. For both groups, the authors examine whether firms with higher asset growth and higher accruals are associated with lower future stock returns. The authors implement Fama and MacBeth’s cross-sectional regressions incorporating the effect of correlations between growth and accrual measures. In addition, the authors regress hedge portfolio returns on Fama and French (1993) three-factor and Fama and French (2015) five-factor models to see if the intercepts (a’s) from these regressions are significantly different from 0.

For each year, the authors partition firms based on whether the correlation between asset growth and current accrual is positive or negative. For both the “positive correlation” and “negative correlation” firms, the authors examine the association between accruals and future stock returns. The authors find that accruals remain strong in predicting future stock returns for both groups. The accrual effects from the “negative correlation” group cannot be attributed to the growth-based hypothesis because for these firms, when accruals are high, growth measures tend to be relatively low and vice versa. The effects are most likely driven by the alternative hypothesis that investors overvalue the accrual part of earnings.

There exist a few issues when investors actually implement these strategies. These include liquidity costs, institutional holdings and short sale constraints. Lesmond (2008) concludes that the bulk of the trading profits is derived from the short side of the trade, but that this position suffers from high liquidity costs that reduces institutional holdings with consequent short sale constraints. The net gains after taking into account these issues remain an open question be addressed in the future.

The empirical results indicate that investors can do an implementable portfolio strategy of going long for a year on an initially equally weighted lowest asset growth (accrual) decile portfolio and going short for a year on an initially equally weighted highest asset growth (accrual) decile portfolio, which produces significant abnormal returns. The results further show that these abnormal returns can be improved if investors classify stocks into “the positive correlation” and “negative correlation” groups and implement trading similar trading strategies.

The empirical evidence finds that firm-year observations that exhibit a negative correlation between growth and accrual measures represents a significant 30 percent of the total firm-year observations during the sample period from July 1974 to June 2017. This highlights the necessity to undertake a detailed analysis on the issue. The authors continue to find accrual effects among these groups of firms. Therefore, the accrual effect cannot be attributed to the diminishing marginal return hypothesis. This is the main contribution of the paper.

This paper makes attempt to test the firm‐level long‐term asset growth (LAG) effects in returns by examining the cross‐sectional relation between firm‐level LAG and subsequent abnormal stock returns. The purpose of this paper is to investigate whether limits‐to‐arbitrage can explain this asset growth anomaly in Chinese stock market.

Empirical research was carried out.

The empirical results show that asset growth anomaly in A‐share stock market is significant and robust. The conclusion provides more evidence for the existence of asset growth anomaly. Additionally, arbitrage risk indicated by idiosyncratic risk cannot explain the anomaly, arbitrage risk indicated by accounting information transparency can partly explain the anomaly, and arbitrage cost proxied by Amihud's measure of illiquidity indicator can completely explain the asset growth anomaly in A‐share stock market.

The results of this paper imply that strengthening the disclosure of firm information and improving the liquidity of the market are important to improve the efficiency of the A‐share stock market.

The paper selects the sample of non‐financial listed companies in A‐share stock market to research the asset growth anomaly and investigates whether limits‐to‐arbitrage can explain this anomaly. This paper proves the existence of asset growth anomaly in A‐share stock market and is a good reference for further researches.

The purpose of this paper is to examine whether firm-level asset investment effects in returns found for US firms occur within the Greek stock market.

The paper utilizes portfolio-level tests and cross-sectional regressions.

The authors find that growth in total assets is strongly negatively related to future stock returns of Greek firms. In fact, the relation remains statistically significant, even when the authors control for other strong predictors of future returns (i.e. market capitalization and book-to-market ratio). Furthermore, the authors find that a hedge trading strategy on asset growth rate consisting of a long (short) position in firms with low (high) balance sheet growth generates positive returns, confirming that investment growth has significant predictive power for future returns of Greek listed firms.

The paper adds to the literature on the generalization of asset pricing regularities attributable to accounting figures in an emerging market.

This paper aims to examine the performance and benchmark asset allocation policy of 70 KiwiSaver funds catergorised as growth, balanced or conservative over the period October 2007-June 2016. The study focuses on the sources for returns variability across time and returns variation among funds.

Each fund is benchmarked against a portfolio of eight indices representing eight invested asset classes. Three measures were used to examine the after-fee benchmark-adjusted performance of each fund: excess return, cumulative abnormal return and holding period returns difference. Tracking error and active share were used to capture manager’s benchmark deviation.

On average, funds underperform their respective benchmarks, with the mean quarterly excess return (after management fees) of −0.15 per cent (growth), −0.63 per cent (balanced) and −0.83 per cent (conservative). Benchmark returns variability, on average, explains 43-78 per cent of fund’s across-time returns variability, and this is primarily driven by fund’s exposures to global capital markets. Differences in benchmark policies, on average, account for 18.8-39.3 per cent of among-fund returns variation, while differences in fees and security selection may explain the rest. About 61 per cent of balanced and 47 per cent of Growth funds’ managers make selection bets against their benchmarks. There is no consistent evidence that more actively managed funds deliver higher after-fee risk-adjusted performance. Superior performance is often due to randomness.

This study makes use of a unique data set gathered directly from KiwiSaver managers and captures the long-term strategic asset allocation target which underlines the investment management process in reality. The study represents the first attempt to examine the impact of benchmark asset allocation policy on KiwiSaver fund’s returns variability across time and returns variation among funds.

The purpose of this research is to examine the growth rates of commercial banks and credit unions around the financial crisis and recovery. Credit unions are analyzed as a group and by field of membership. Specifically, this research analyzes the growth rates of assets, deposits, and loans.

This research employs univariate tests of differences to examine the median growth rates for commercial banks and credit unions. Unbalanced pool regressions analyze growth rates during the pre-crisis, crisis, and recovery periods, controlling for size, net charge-offs, and unemployment.

Univariate test results that control for size show that banks grow at faster rates than credit unions for most of the pre-crisis years. However, medium sized credit unions grow at faster rates for most of the crisis and recovery years. Results of unbalanced pool regressions suggest that, overall, credit unions grow at slower rates than do banks. However, during the crisis and recovery, credit union growth is significantly greater than that of banks, after controlling for net charge-offs, size, and unemployment. Credit union growth varies by field of membership type.

Although a large volume of research examines commercial bank performance around the financial crisis, only a few papers assess the performance of credit unions. And very few papers compare commercial banks and credit unions. This paper explores how the recent financial crisis influenced the growth of commercial banks and credit unions from 2005 to 2013.

Today, firm performance must be measured not only on traditional metrics but also on those that reflect the changing imperatives and new metric knowledge. Thus, the focus of managers, investors, and researchers is shifting from rubrics like sales and profitability to growth as a more appropriate measure of firm performance. We aim to highlight the effects that growth of a firm can have on the level of its systematic risk. Using a sample of 203 firms across nine industries taken from the Indian manufacturing sector for a period of 17 years (1998–2014), we develop and test a panel vector autoregressive (VAR) model to analyze the causal relationship between growth aspects and systematic risk of firms. Results depict that a growth option available to firms increase their level of systematic risk and the risk decreases when firms start chasing this growth by increasing their assets in place. Sustainable growth rate, which depicts the growth potential of firms, plays an important role in reducing the level of systematic risk. The findings of this chapter are relevant to managers who think that growth is always beneficial.

The purpose of this paper is to investigate the joint influence of two factors (companies’ performance and growth) on the company’s capital structure and to determine the conditions for financially sustainable competitive strategies in the coordinates profitability and growth.

The study sample includes 1,996 companies from 6 high-tech industries in Russia (panel data: 7,984 observations). The authors use regression models with random effects and carry out a three-dimensional visualization of the resulting dependencies.

The study found that profitability improves the capital structure (reduces the share of borrowed capital) and, on the contrary, the growth of companies (assets growth or sales growth) increases the leverage ratio. In the case of assets growth, the combined influence of two factors reduces the negative effect of assets growth. The results have shown that the outstripping growth of most high-tech companies requires an increase in debt capital and deterioration in the capital structure and financial stability.

In general, based on the results of this study, the authors have identified groups of fast-growing companies that need financial support, and have defined the main areas of impact (reducing the loan burden and increasing profitability) that will allow these companies to maintain high growth rates and demonstrate advanced development.

The relationships (which the authors identified between the control variables, the studied variables and leverage) were obtained for the first time for a sample of companies in high-tech industries and services in bigger transition country (Russia).

The purpose of this paper is to analyze the variables that significantly affect dividend policy.

This research uses a type of comparative causal research (causal-comparative research), where the fact or event is identified as an influenced variable (dependent variable) and the variables that influence (independent variable) are investigated. In this study, the authors want to examine the effect of collateralizable assets, growth in net assets, liquidity, leverage and profitability of dividend policy by using quantitative approach. The data used are secondary data obtained from Indonesia Stock Exchange website with website address: www.idx.co.id.

The results showed that collateralizable assets have a negative, but not significant, effect on dividend policy. This shows that the high collateralizable assets do not affect the policy of the dividend of manufacturing companies. The second variable, growth in net assets, has a negative and significant effect on dividend policy. This shows that the higher growth in net assets will lower the dividend policy of manufacturing companies. Furthermore, the results show that liquidity has a negative and significant effect on dividend policy. This indicates that higher liquidity will lower the dividend policy of manufacturing companies. Furthermore, result that leverage has a negative and significant effect on dividend policy is obtained. This suggests that the higher leverage will lower the dividend policy of the manufacturing company. And lastly, profitability has a negative, but not significant, effect on dividend policy. This shows that high profitability does not affect dividend policy of manufacturing companies.

The authors contribute to prior research by providing the empirical evidence on the impact of collateralizable assets, growth in net assets, liquidity, leverage and profitability on dividend policy in Indonesia market as an emerging market.