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Sees the objective of teaching financial management to be to help managers and potential managers to make sensible investment and financing decisions. Acknowledges that financial theory teaches that investment and financing decisions should be based on cash flow and risk. Provides information on payback period; return on capital employed, earnings per share effect, working capital, profit planning, standard costing, financial statement planning and ratio analysis. Seeks to combine the practical rules of thumb of the traditionalists with the ideas of the financial theorists to form a balanced approach to practical financial management for MBA students, financial managers and undergraduates.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The unit trust industry is one of the fastest growing areas in the financial sector. This dramatic growth has raised concern about the level of investors’ knowledge, or lack thereof, relating to the factors associated with investment decisions. This study investigates the factors and dynamics behind cash flows into and from General Equity unit trusts from September 1996 to September 2001, and the extent to which market factors and unit trust characteristics explain the variation in cash flows. The analysis shows a significant positive relationship between cash flows and contemporaneous returns of the General Equity unit trusts and the equity market, while being negatively related to one‐month lagged returns and cash flows. Several of the determinants, including interest rates, fee structures, risk and fund size, are found to be insignificant at a 5% level. The results indicate that investors exhibit an element of profit maximisation, driven by performances and irrationality, in that they give less consideration to fee structures, risk and fund size.

This study investigates the effect of global and domestic uncertainty on the dynamics of portfolio investment in 21 economies (mostly advanced and larger emerging economies) from 2001–2016.

Specifically, the evolution of the net portfolio equity investment inflows (FPI net inflows) and the evolution of net portfolio investment (FPI net) are investigated in a context in which the degree and the volatility of domestic economic policy uncertainty (EPU) and world uncertainty index (WUI) varied. The authors provide an empirical analysis through the sequential (two-stage) estimation of linear panel data models for unbalanced panel data.

An increase in the degree and volatility of domestic EPU has a significant negative influence on FPI net inflows, while an increase in WUI has a significant positive one. Notably, a simultaneous increase in the domestic EPU and WUI enhances the net inflows of FPI, whereas a simultaneous increase in the volatility of these indicators reduces the net inflows of FPI. An increase in the degree and volatility of both domestic EPU and WUI have a significant positive effect on the net portfolio investment, implying that a significant net portfolio investment is going out of the country.

The results of this study encourage international investors to consider uncertainty indicators (and, more specifically, their variations) in their portfolio strategy to optimize their position on the international markets. The findings of this study invite policy-makers from large countries to reduce the perceived domestic uncertainty since this parameter can influence international investors' sensitivity and willingness to diversify their position out of the country.

The authors' approach focuses on the variations of uncertainty (existing literature mainly works with the indicators). While the results confirm the role played by large markets in international portfolio investment management, it nuances the changes in the portfolio management behaviors toward other markets when facing a changing uncertainty.

Relative risk ratings measure the degree by which a country’s sovereign rating is better or worse than other countries (Basu et al., 2013). However, the literature on the impacts of sovereign ratings on capital flows has not covered the role of relative risk ratings. This paper aims to examine the effect of relative risk ratings on private capital flows to emerging and frontier market economies is filled. In the analysis, the effect of relative risk ratings to that of absolute sovereign ratings in influencing private capital flows are compared.

This paper examines the influence of sovereign credit ratings and relative risk ratings on private capital flows to 26 emerging and frontier market economies using quarterly data for a 20-year period between 1998 and 2017. A dynamic panel regression model is used to estimate the relationship between ratings and capital flows after controlling for other factors that can influence capital flows such as growth and interest rate differentials and global risk conditions.

The analysis finds that while absolute sovereign credit ratings were an important determinant of net capital inflows prior to the global financial crisis in 2008, the influence of relative risk ratings increased in the post-crisis period. The post-crisis effect of relative ratings appears to be driven mostly by portfolio flows. The main results are robust to an alternate measure of capital flows (gross capital flows instead of net capital flows), to the use of fixed gross domestic product weights in calculating relative risk ratings and to the potential endogeneity of absolute and relative ratings.

This study advances the literature on being the first attempt to understand the impact of relative risk ratings on capital flows and also comparing the impact of absolute sovereign ratings and relative risk ratings on capital flows in the pre- and post-global financial crisis periods. The findings imply that emerging and frontier markets need to pay greater attention to their relative economic performance and not just their sovereign ratings.

The purpose of this research is to understand the long‐run dynamics between returns, commodity prices, volatility, and US equity investment into Brazil. This research is prompted by the rapid increase in foreign equity investment into Brazil.

To address long‐run dynamic nature of the variables, multivariate autoregressive model is fitted for the period of January 1998 to May 2008. To achieve identification of this model, restrictions are imposed based on underlying financial theory and the nature of the data.

The paper finds consistent with a long literature, that US institutional equity investment is forecasted by past returns on the Brazilian stock index (BOVESPA). The paper also documents the important role of commodity prices in forecasting US equity flows to Brazil, a variable that has not been considered in much of existing literature. Finally, the paper uncovers a strong relationship between US equity flows to Brazil and measures of risk. The paper documents that an unexpected shock to US equity flows increases the volatility of the Brazilian equity market beyond what could be predicted by other variables in the system. The strong joint dynamics among US portfolio equity flows and the risk and return of the Brazilian equity market demonstrates the need for policy makers in Brazil to monitor short‐term portfolio flows.

There is a broad literature on the dynamics of US investment in emerging and developed markets but very little work focuses directly on Brazil. Additionally, this work is one of the first to explicitly consider the role of commodity prices on the dynamics of foreign equity flows to resource rich nations.

The purpose of this paper is to understand and compare the extent and nature of the impact of foreign portfolio investment (FPI) on the stock market volatility, particularly in the Southeast Asian emerging markets, and compare that against the corresponding experience of Indian economy, in the context of a global financial crisis of the recent past.

The Asian emerging markets are now being perceived as becoming financially more and more vulnerable to international events because of their growing exposure to unstable foreign investment flows. The daily net FPI inflow and the daily leading stock market composite index of four countries, namely, Thailand, the Philippines, Indonesia and India, have been analyzed using autoregressive conditional heteroscedasticity (ARCH)-generalized ARCH group of models dividing the study period from 2000 to 2014 among pre-crisis, crisis and post-crisis period separately.

The study reveals that the net inflow of FPI has been a significant determinant of stock market returns in all countries. The impact of volatility spillover from the FPI market to the stock market in the sample countries has been found to be different under different market conditions. The past information and volatility clustering have been significantly influencing the stock market return volatilities of all these Southeast Asian countries on average.

However, there are significant country-wise differences in the relative importance and direction of the relationship of each of these effects with the volatility of the FPI and the stock markets. These effects have been different in these four different markets and they have significantly altered in strength and significance during the global financial crisis and in the post-financial crisis period.

The main thrust of the present study is to look into the trading patterns of behavior and investment performance exhibited by individual and institutional investor categories in the Qatar Exchange (QE). The paper aims to discuss these issues.

The present study uses daily aggregated investment flows made separately by each investor group, as well as daily closing price observations of the QE stock composite index. The trading patterns of investor categories are examined by estimating a bivariate vector autoregressive process of order p, VAR (p). To determine whether each category performs well or poorly over the entire sample period, each investor category's cumulative returns are estimated and analyzed.

The empirical results reveal that institutional investors pursue positive feedback trading strategies, whereas individual investors tend to be negative feedback traders. Both investor categories appear to be engaged in herding behavior. Additionally, institutional investors perform well over almost the entire sample period. In contrast, individual investors' negative market timing ability dominates their overall poor performance.

The investment performance gap found between institutional investors and individual investors in the Qatari capital market may reflect a large information asymmetry in favour of the former category. Indeed, the poor performance of individual investors implies that their trading activities are generally driven by factors and considerations that are irrelevant to fundamentals. Moreover, their irrational trading decisions may play some role in the formation of asset price bubbles.

The present study makes the first attempt to provide empirical evidence on the investment patterns and performance of individual and institutional investors trading on the Qatari capital market.

Evaluating capital investments for additions or modifications to warehouses, for replacement of equipment or for entirely new facilities is a complex activity which involves numerous financial, competitive and other considerations. The financial aspect of capital investments is addressed and it is shown how ten different investment criteria can be brought to bear on the capital investment issue. The ten investment criteria consist of five primary criteria and five secondary criteria. The primary criteria are payback period in years, non‐discounted rate of return on investment, internal rate of return, Baldwin rate of return, and benefit cost ratio. All ten criteria are described and suggestions are made when each criterion is appropriate.