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Given the potential of the stock market to provide required capital for agro-based companies, a time series analysis of the performance of major agricultural-based companies in the Nigerian stock exchange (NSE) was carried out.

Monthly records of volume of shares traded (VOL) as well as its determinants – current market price (CMP), dividend (DIV), earnings per share (EPS), price-earning ratio (PER), earning yield (EARN) and dividend yield (YIELD) were obtained from the NSE as indicators of performance through 11 years (1998-2008). Non-stationarity of the variables under consideration led to re-conceptualisation of the model as a vector autoregressive (VAR) system. Existence of more than one co-integrating vector in the data through the Johansen test, led to estimation of restricted VAR using the Vector Error Correction Model (VECM) imposing normalisation of VOL and PER.

The result of the analysis revealed that VOL is positively related to YIELD and CMP while it is inversely related to EARN, EPS and DIV. On the other hand PER increases with increasing EPS and DIV but reduces with increase in EARN and CMP. Short-run adjustment coefficients were generally large ranging from four months to ten years.

However, variables coefficients were more elastic in the long run.

This paper is an original article and has not been done by any other researcher. Furthermore, this paper has not been submitted to any other publishing house prior to this.

Past studies have shown that investment strategy using two popular metrics, the earnings‐price ratio (EP) and book‐to‐market ratio (BM) enable investors to reap abnormal returns. More recent development of another ratio, economic value‐added‐to‐market value (EVAM) can be seen as a hybrid of EP and BM ratios. The purpose of this study is to examine whether portfolios created by utilizing the EVAM ratio will generate higher returns than portfolios formed with EP or BM ratios.

Utilizing the EVA data obtained from Stern Stewart & Co. and financial data from COMPUSTAT and center for research in security prices (CRSP), portfolios are created following the Fama and French portfolio formation methodology. The authors form separate portfolios using EP, BM or EVAM ratios where firms are ranked by a ratio in year t, then split into deciles. Then portfolios are constructed in year t + 1 for each decile and equally weighted portfolio returns are calculated. The cumulative ten‐year returns are compared between portfolios formed with EP, BM and EVAM ratios.

There are three interesting findings. One, the EP portfolios depict results that have long been documented. That is, value stock (low price‐to‐earnings ratio firms) and growth stocks (high price‐to‐earnings ratio) exhibit the highest returns. Two, the ten BM portfolio performances are not statistically different. Three, the EVAM ratios indicate that the negative EVAM (lowest decile) portfolio exhibit the highest return and the second highest return is generated by the highest EVAM portfolio. The general results of the thirty portfolios show that the highest EVAM ratio (EVAM10) performs the best. However, the pairwise mean differences between EP, BM and EVAM portfolios do not show statistical differences over the 1995–2004 period.

Although investment strategies using EP ratio and BM ratio have been thoroughly studied, investment strategy using EVAM ratio has not. Given that it has been documented that EVA is a better conceptual measure of value, portfolio managers or investors would be interested to know whether utilizing EVA for investment strategy would earn a higher return than strategies that use EP or BM ratios.

The ratio between share price and current earnings per share, the Price Earning (PE) ratio, is widely considered to be an effective gauge of under/overvaluation of a corporation’s stock. Arguably, a more reliable indicator, the Cyclically Adjusted Price Earning ratio or CAPE, can be obtained by replacing current earnings with a measure of permanent earnings i.e. the profits that a corporation is able to earn, on average, over the medium to long run. In this study, we aim to understand the cross-sectional aspects of the dynamics of the valuation metrics across global stock markets including both developed and emerging markets. We use a time varying DCC model to exploit the dynamics in correlations, by introducing the notion of value spread between CAPE and the respective Market Index from 2002 to 2014 for 34 countries. Value spread is statistically significant during the 2008 crisis for asset allocation. The signal can be utilized for better asset allocation as it allows one to interpret the common movements in the stock market for under/overvaluation trends. These estimates clearly indicate periods of misvaluation in our sample. Furthermore, our simulations suggest that the model can provide early warning signs for asset mispricing in real time on a global scale and formation of asset bubbles.

This study investigates the pricing of new issues in the Indian equity market during the period shortly following the deregulation of the market for new issues. We evaluate the importance of book value and market value estimates in determining issue prices as well as prices on the first day of trading. We also use variables that may reduce uncertainty (age to proxy for awareness of the company) and information asymmetry (the extent of the promoter’s contribution to the new issue) in order to test whether uncertainty and information asymmetry have an impact on pricing of new issues. Results indicate that pricing of new issues appears to be consistent with rational decision‐making. We also examine the extent of underpricing of IPOs in India by calculating the rate of return earned by the subscribers on the first day the shares trade publicly. The first day return is, on average, 72 per cent. We then simulate what this return would have been if the government regulations had still been in place. With government restrictions, the first day’s return would have been 160 per cent. These results are consistent with the expectations that removal of restrictions results in lower returns to subscribers and lower cost of capital for the issuing firm. Finally, we examine whether there are differences in first day returns or other variables for companies that issue shares at a price above the government benchmark and the companies that issues shares at prices below the benchmark. Results indicate that there are no significant differences in first day returns between the two groups of companies. There are, however, significant differences between the two groups with respect to relative size of the issue and the difference between the forecasted and current book value. This indicates that the CCI price might be used as a benchmark, which is, then adjusted upwards or downwards to place greater emphasis on expected performance.

Variations in price/earnings (P/E) ratios are explained in a rational expectations framework by a number of fundamental factors, such as differences in growth expectations and risk. The purpose of this paper is to use a regression model and data from four sample periods (1996, 2000, 2001, and 2008) to separate the earnings/price (E/P) ratio into two parts – the portion of E/P that is related to fundamental determinants and a residual portion that cannot be explained by fundamentals. The authors use the residual portion as an indicator of over or undervaluation; a large negative residual is consistent with overvaluation while a large positive residual implies undervaluation. The authors find that stocks with larger negative residuals are associated with lower subsequent returns and reward-to-risk ratio, while stocks with larger positive residuals are associated with higher subsequent returns and reward-to-risk ratio. This pattern persists for both one and two-year holding periods.

This study uses a regression methodology to decompose E/P into two parts – the portion of E/P than is related to fundamental determinants and a residual portion that cannot be explained by fundamentals. Focussing on the second portion allows us to isolate a potential indicator of stock over or undervaluation. Using a sample of stocks from four time periods (1996, 2000, 2001, and 2008, the authors calculate the residuals from a regression model of the fundamental determinants of cross-sectional variation in E/P. These residuals are then ranked and used to divide the stock sample into deciles, with the first decile containing the stocks with the highest negative residuals (indicating overvaluation) and the tenth decile containing stocks with the highest positive residuals (indicating undervaluation). Total returns for subsequent one and two-year holding periods are then calculated for each decile portfolio.

The authors find that high positive residual stocks substantially outperform high negative residual stocks. This is true even after risk adjustments to the portfolio returns. The residual E/P appears to accurately predict relative stock performance with a relatively high degree of accuracy.

The findings of this paper provide some important implications for practitioners and investors, particularly for the stock selection, fund allocations, and portfolio strategies. Practitioners can still rely on a valuation measure such as E/P as a useful tool for making successful investment decisions and enhance portfolio performance. Investors can earn abnormal returns by allocating more weights on stocks with high E/P multiples. Portfolios of high E/P multiples or undervalued stocks are found to enjoy higher risk-adjusted returns after controlling for the fundamental factors. The most beneficial performance holding period return will be for a relatively short period of time ranging from one to two years. Relying on the E/P valuation ratios for a long-term investment may add little value.

Practitioners and academics have long relied on the P/E ratio as an indicator of relative overvaluation. An increase in the absolute value of P/E, however, does not always indicate overvaluation. Instead, a high P/E ratio can simply reflect changes in the fundamental factors that affect P/E. The authors find that stocks with larger negative residuals are associated with lower subsequent returns and coefficients of variation, while stocks with larger positive residuals are associated with higher subsequent returns and coefficients of variation. This pattern persists for both one and two-year holding periods.

The P/E ratio is widely used, particularly by practitioners, as a measure of relative stock valuation. The ratio has been used in both cross-sectional and time series comparisons as a metric for determining whether stocks are under or overvalued. An increase in the absolute value of P/E, however, does not always indicate overvaluation. Instead, a high P/E ratio can simply reflect changes in the fundamental factors that affect P/E. If interest rates are relatively low, for example, the time series P/E should be correspondingly higher. Similarly, if the risk of a stock is low, that stock’s P/E ratio should be higher than the P/E ratios of less risky stocks. The authors examine the cross-sectional behavior of the P/E (the authors actually use the E/P ratio for reasons explained below) after controlling for factors that are likely to fundamentally affect this ratio. These factors include the dividend payout ratio, risk measures, growth measures, and factors such as size and book to market that have been identified by Fama and French (1993) and others as important in explaining the cross-sectional variation in common stock returns. To control for changes in these primary determinants of E/P, the authors use a simple regression model. The residuals from this model represent the unexplained cross-sectional variation in E/P. The authors argue that this unexplained variation is a more reliable indicator than the raw E/P ratio of the relative under or overvaluation of stocks.

The purpose of this paper is to investigate the reciprocal relationship between profitability and capital structure and its impacts on the corporate values of manufacturing companies in Indonesia.

This research is a quantitative research using the general structural component analysis as the analysis tool. This research involved a number of manufacturing companies registered in the Indonesia Stock Exchange in 2008‒2015 period.

Profitability has a negative significant influence on capital structure, indicating that profitability is a determining factor upon the corporate capital structure. This finding also implies that the improvement in profitability in the forms of return on investment, return on equity and net profit margin triggers decrease in the proportion of debt within the capital structures of manufacturing companies registered in BEI or Indonesia Stock Exchange.

Previous research only addressed the one-way correlation between profitability and capital structure, whereas this research measured the two-way correlation and reciprocal relationship at the same time. This research measured the influences of profitability and capital structure on the corporate value, in order to find a consistent finding that has not been yet obtained in previous research. This research also attempted to find out whether the use of the same variables within different time and setting (in Indonesia) leads to different results. The inconsistent findings also motivate the researcher to re-explore the reciprocal influence of corporate profitability on corporate capital structure and its effect toward the corporate value.

In capital market, share prices of listed companies generally respond to accounting information. In 1995, Ohlson proposed a share valuation model based on two accounting indicators: company residual income and book value of net asset. In 2000, Zhang introduced the thought of option pricing and developed a new accounting valuation model. The purpose of this paper is to investigate the valuation deviation and the influence of some market transaction characteristics on pricing models.

The authors use listed companies from 1999 to 2013 as samples, and conduct comparative analysis with multiple regression.

The main findings are: first, the accounting valuation model is applicable to the capital market as a whole, and its pricing effect increases as years go by; second, in the environment of out capital market, the maturity of investors is one of important factors that causes the information content of residual income less than that of profit per share and lower pricing effect of valuation models; third, when the price earning (PE) of listed companies reaches certain level, the overall explanation capacity of accounting valuation models will become lower as PE gets higher; fourth, as for companies with higher turnover rate and more active transaction, the pricing effect of accounting valuation model is obviously lower; fifth, the pricing effect of accounting valuation models in a bull market is lower than in a bear market.

These findings establish connection between accounting valuation and market transaction characteristics providing an explorable orientation for the future development of accounting valuation theories and models.

This paper aims to determine the specific financial ratio's effects on market value and return of assets for Turkish real estate investment trusts (REITs) traded at Istanbul Stock Exchange (ISE). The paper intends to define liquidity ratios, financial structure ratios, return ratios and stock performance ratios related to market value and return of asset.

The study includes 17 REITs traded in ISE. The period of study is specified as the year from 2009 to 2018. Panel data analysis is applied in this study. Dependent variables are current market value and return of assets, independent variables are 12 financial ratios, which are considered to explain the model significantly. These ratios will be calculated from audited year-end balance sheets for specific periods throughout at least ten years as time series. Two different models and hypotheses have been established to identify the financial ratios that affect the market value and return of assets for REITs.

According to the results, long-term financial loans/total assets, return of equity and working capital ratio are negatively correlated with market value, while market value/book value and total assets are correlated positively. On the other hand, market value/book value ratio, price/earning ratio, long-term financial loans/total assets and earnings per share are correlated with return of assets. REITs have high levels of financial leverage, especially in foreign currency. The striking point is that REITs hardly ever do not use financial derivatives to hedge their position again currency and interest rate risk. This approach makes the financial structures of REITs vulnerable and fragile against market volatility.

In Turkey, as an example of an emerging market, financial borrowing does not increase the return rates and market value for REITs due to market's idiosyncratic properties. This finding provides substantial insight into how the debt and equity allocation of Turkish REITs should be structured. Also, it has been observed that forward-looking expectations are considered more than the current situation in the market.

The paper aims to present an exchange ratio for merging companies that incorporates the change in the level of riskiness.

The paper is a theoretical one. Its main objective has been achieved exploiting standard modern finance results such as Capital Asset Pricing Model Capital Asset Pricing Model (CAPM).

The paper offers a formula that determines a risk‐adjusted exchange ratio that takes into account both risk and synergy.

Due to the fact that CAPM is applied and beta factors are required, the formula is fully applicable only to companies whose stocks are traded on a financial market. Empirical test of the exchange ratio formula (using, for instance, an event‐study methodology) should be performed.

The use of the formula allows the identification of whether the offered exchange ratio fully reflects the expected return/risk profile for stockholders of the merging companies.

The paper should be useful in both theoretical and managerial conditions. It carries a way to embed relative riskiness of two companies into a simple formula.

This chapter considers the estimation of a parametric single-index predictive regression model with integrated predictors. This model can handle a wide variety of non-linear relationships between the regressand and the single-index component containing either the cointegrated predictors or the non-cointegrated predictors. The authors introduce a new estimation procedure for the model and investigate its finite sample properties via Monte Carlo simulations. This model is then used to examine stock return predictability via various combinations of integrated lagged economic and financial variables.