Investment Management and Financial Innovations

Journal Information
ISSN / EISSN : 1810-4967 / 1812-9358
Current Publisher: LLC CPC Business Perspectives (10.21511)
Total articles ≅ 691
Current Coverage
Archived in

Latest articles in this journal

Liudmyla Gavatiuk, Maksym Karvatskyi, Alina Korbutiak, , Eduard Yurii
Investment Management and Financial Innovations, Volume 18, pp 91-105; doi:10.21511/imfi.18(2).2021.08

Globalization and IT progress are expanding the possibilities of using various financial instruments to create a personal investment portfolio. The purpose of the study is to differentiate the investment portfolio by the level of income of Ukrainian citizens and its impact on the effectiveness of personal finance management. Analysis of indicators of state and current investment trends allowed identifying the optimal ratio of profitability and risk in financial decisions of individuals by diversifying the investment portfolio, creating personal reserves, localizing investment instruments and minimizing the use of credit resources.The result of the study is the development and justification of criteria that an investor should meet during the investing. In particular, the formation of an individual investment portfolio depending on personal income allows everyone to justify an effective personal investment policy, taking into account the available investment tools. The paper covers the approaches to the formation of a person’s investment portfolio, depending on the level of his or her income. The paper also examines the need to form an optimal investment portfolio, depending on the real financial opportunities of a person.
Nitesha Dwarika, Peter Moores-Pitt,
Investment Management and Financial Innovations, Volume 18, pp 106-117; doi:10.21511/imfi.18(2).2021.09

This study is aimed at investigating the volatility dynamics and the risk-return relationship in the South African market, analyzing the FTSE/JSE All Share Index returns for an updated sample period of 2009–2019. The study employed several GARCH type models with different probability distributions governing the model’s innovations. Results have revealed strong persistent levels of volatility and a positive risk-return relationship in the South African market. Given the elaborate use of the GARCH approach of risk estimation in the existing finance literature, this study highlighted several weaknesses of the model. A noteworthy property of the GARCH approach was that the innovation distributions did not affect parameter estimation. Analyzing the GARCH type models, this theory was supported by the majority of the GARCH test results with respect to the volatility dynamics. On the contrary, it was strongly unsupported by the risk-return relationship. More specifically, it was found that while the innovations of the EGARCH (1, 1) model could account for the volatile nature of financial data, asymmetry remained uncaptured. As a result, misestimating of risks occurred, which could lead to inaccurate results. This study highlighted the significance of the innovation distribution of choice and recommended the exploration of different nonnormal innovation distributions to aid with capturing the asymmetry.
Yana Ulfah, Rizky Yudaruddin, Yanzil Azizil Yudaruddin
Investment Management and Financial Innovations, Volume 18, pp 37-47; doi:10.21511/imfi.18(2).2021.04

This study explores whether ownership structure (comprising ownership concentration, foreign, managerial, and institutional ownership) affects intellectual capital disclosure (ICD) in Southeast Asia’s largest stock market and Indonesia’s emerging economy. The sample includes 323 public firms listed on the Indonesia Stock Exchange (IDX) from seven industries between 2008 and 2017, or 2,634 firm-year observations. Data were analyzed using the ordinary least squares (OLS) regression with robust standard errors. The results show that ICD is positively related to ownership concentration. A negative and substantial relationship was found for both foreign and managerial ownerships, while the institutional ownership variable had a negative and insignificant impact. Overall, the results show robust conclusions regarding the impact of the ownership structure on ICD. The findings of this investigation could be taken into account by capital market authorities such as the Indonesia Stock Exchange (IDX) to raise awareness of intellectual capital and improve ICD practices. Acknowledgment The researchers are grateful for the valuable responses from two unnamed reviewers and discussion respondents at Mulawarman University. We also thank the Indonesia Stock Exchanges (IDX) and The Indonesia Capital Market Institute for providing the annual report.
Investment Management and Financial Innovations, Volume 18, pp 1-11; doi:10.21511/imfi.18(2).2021.01

Following the COVID-19 breakout, investment in shares, mutual funds, and life insurance are witnessing a growing trend in India. Hence, examining the determinants of investor preferences is necessary to maintain a positive trend. This study analyzes the impact of investor motives and awareness on investor preferences using the data collected from 753 Indian investors in 2020. Factor analysis grouped the investment motives into six categories, namely Nature of investments, Future financial needs, Investor personal characteristics, Safety and stability of investments, Investor behavioral aspects, and Investor’s options. The regression model used to find the impact of the investment motives and the awareness on the investor preferences explains 52.3% of changes in investor preference. Investment factors like Nature of investments, Investor personal characteristics, Investor behavior, Investor options, Awareness of mutual funds, and shares have a significant impact on investor preferences. Further, the awareness level of mutual funds and the stock market are the major variables contributing to Investors’ preference rather than identified investment factors. Investors’ personal characteristics like knowledge, confidence, ability, responsibility, and belief negatively influence investor preferences. This study adds to the existing literature by analyzing investment motives and preferences during the pandemic.
, Ivan Cherlenjak, Volodymyr Prikhodko, Yuliіa Sonko, Maryna Shtan
Investment Management and Financial Innovations, Volume 18, pp 118-129; doi:10.21511/imfi.18(2).2021.10

This study explores the evaluation of investment attractiveness of Ukraine’s economy. The following factors are analyzed: the social significance of the sector, the coefficient of support for the sectoral development, the coefficient of production efficiency, the index of fierce competition, and the inflation index. The results of applying the calculation of the average value of the weighting factor within a particular sector and the method of the sum of sets show that the most significant influence on the investment attractiveness of the economy sector are factors of economic efficiency and support of the sector by the state. The study is based on the development and calculation of an integrated indicator of sectoral attractiveness. This approach makes it possible to take into account a set of factors and more accurately describe the existing priorities of a particular sector of the economy. The conclusion is that that the most attractive sectors in Ukraine are industry, trade, transport and communications, as well as financial activities. The education sector remains the least attractive for investment. It is estimated that its attractiveness does not exceed 10% of the threshold. Unattractive for investments sectors will need special attention from the government. Correcting the current situation and attracting additional investment in such areas can significantly reduce the burden on the state budget. The findings of this investigation can be used in order to expand the existing tools for the formation of economic policy of Ukraine and improve the practice of evaluation of sectoral investment. AcknowledgementsThis article was prepared and funded within the research theme “Strategy of structural reorientation of Ukraine’s economy in the conditions of a pandemic” reg. No. 0121U109608 of Economic Theory and Competitive Policy Department of Kyiv National University of Trade and Economics.
, , Yuliia Nikolchuk, Mariia Rushchyshyn, Taras Vasyltsiv
Investment Management and Financial Innovations, Volume 18, pp 193-208; doi:10.21511/imfi.18(2).2021.16

The effective functioning of the banking sector has a key impact on the stability of economic growth. The study is aimed at monitoring the banking sector development and identifying causality between the banking sector and economic growth. The methodological tools of the research are Principal component analysis, causal relationship, and vector regression modeling. The empirical study is based on the World Bank databank by eight components (for integral analysis) and seven indicators (for causality analysis). The study presents an improved algorithm for monitoring the level of banking sector development based on calculating the integral coefficient. According to assessment, the level of banking sector development and realization of its potential in Ukraine is low and significantly inferior to the EU countries; in 2000–2019, the development of the banking sector in Ukraine was 0.061-0.153. The results obtained confirmed the large discrepancy in the development of Ukraine’s banking sector with some EU countries (the highest lag values were observed with the Czech Republic and Poland). The causality analysis revealed a strong favorable relationship between the level of development of the banking sector in Ukraine and GDP per capita (0.796), a moderate one – with foreign direct investment (0.400), and a reverse relationship with the level of national poverty (0.678). This study is of practical value for identifying two possible trajectories of a country’s development, namely, sustainable development and economic turbulence, and has allowed forming a conceptual vision of the role of the banking sector in achieving social and economic goals.
Earl D. Benson, Sophie X. Kong
Investment Management and Financial Innovations, Volume 18, pp 209-222; doi:10.21511/imfi.18(2).2021.17

This study is relevant to investors who wish to diversify their investment portfolio by investing in U.S.-based investment companies that invest in specific Pacific Basin countries to better understand the diversification benefits of such investments. The purpose is to examine the daily returns of selected U.S.-based, country-focused (Pacific Basin) investment companies to see if those returns accurately reflect the changes of the equity indices of the corresponding Pacific Basin market on the following trading day. The method used is that the reactions of daily investment company returns compared to U.S. market daily returns are examined for Japan, South Korea, and Australia for the period 2006–2010. These return reactions are compared to the home-country returns. Next, for the period from 2011 to 2015, the examination is broadened to include U.S.-based investment companies that invest in Taiwan, Singapore, China, and Indonesia. The results show that investment company share prices on “day t” tend to overreact to changes in the S&P 500 on “day t”, relative to “day t+1” changes in the corresponding Pacific Basin market index – often by more than 100%. Finally, the study shows that on “day t+1” these investment company share prices exhibit a reversal. These findings indicate that the diversification benefits of investing in these Pacific Basin investment companies are reduced due to this increased volatility. S&P 500 returns are accompanied by significantly larger returns on the Pacific Basin investment company shares than are actually realized in the home country on the following day, suggesting that the diversification benefits are not being fully realized.
Investment Management and Financial Innovations, Volume 18, pp 130-143; doi:10.21511/imfi.18(2).2021.11

The aim of this study is to investigate the effect of a firm’s size, asset growth, asset tangibility, and financial leverage on profitability for all listed corporate firms in Jordan using unbalanced panel data (time series and cross-sectional) regression analysis for a sample of 1,663 observations over the period from 2011 to 2018. The overall results show a significant positive effect of a firm’s size and asset growth on profitability. However, asset tangibility presents a significant negative effect on profitability, while financial leverage has an insignificant positive effect on profitability. An analysis of each of the main sectors also point to a consistently positive effect of a firm’s size on profitability, while the results for growth in assets and financial leverage are nearly consistent with overall findings, but not those for asset tangibility. Furthermore, the sub-sample industry analysis reveals mixed results due to the different industry shapes and structures. This study is expected to be of value to firm managers, investors, researchers, and regulators.
, Mayank Joshipura
Investment Management and Financial Innovations, Volume 18, pp 48-63; doi:10.21511/imfi.18(2).2021.05

The study empirically investigates two theories that claim to explain the low-risk effect in Indian equity markets using a universe of stocks listed on the National Stock Exchange of India (NSE) from January 2000 to September 2018. Leverage constraints and preference for lottery are two major competing theories that explain the presence and persistence of the low-risk effect. While the leverage constraints theory argues that systematic risk drives low-risk anomaly and therefore risk should be measured using beta, lottery demand theory claims that irrational investor’s preference towards stocks with lottery-like payoffs is responsible for the persistence of the low-risk effect, and risk should be measured by idiosyncratic volatility. However, given that most of the risk measures are highly correlated, it is not easy to precisely measure a specific theory’s contribution to explaining the low-risk effect. The study constructs the Betting against correlation (BAC) factor to measure the contribution of leverage constraints to the low-risk effect. It further constructs the SMAX factor to untangle the contribution of lottery preference theory. The results show that leverage constraints theory predominantly explains the low-risk effect in Indian markets. This study contributes significantly to the body of literature, as this is the first such study on the Indian market, one of the major emerging markets, especially when the debate on theories explaining the low-risk effect is yet to settle.
Sanket Ledwani, , Sandeep S. Shenoy
Investment Management and Financial Innovations, Volume 18, pp 20-36; doi:10.21511/imfi.18(2).2021.03

The unprecedented outbreak of COVID-19 has affected every aspect of the human life, be it health, social, or economic dimensions. The anxiety and uncertainty wobbled the economies of affected countries worldwide. This study attempts to quantify the impact of COVID-19 on the performance of major stock markets of G-7 nations vis-à-vis BRICS nations. An event study methodology is employed to capture the effect of the systematic event in the form of Buy and Hold Abnormal Returns (BHAR) and Average Buy and Hold Abnormal Returns (ABHAR). The study considers a 90-day observation window, consisting of six sub-event windows after the COVID-19 news up-doves the world, and 120 days prior to the selected event date to estimate average expected returns. BHAR values in the four event windows are statistically significant, covering stock markets from panic and nosedive to their correction and recovery. ABHAR values reported are significantly negative in the event window ranging from –0.15% to –38.43% for G-7 and –0.06% to –37.12% for BRICS nations. Despite similar ABHAR trends, the BHAR values and correlation matrix exhibit a diverse reaction in BRICS nations compared to the highly synchronized reaction in the G-7 group of nations in the COVID period.
Back to Top Top