Investment Management and Financial Innovations

Journal Information
ISSN / EISSN : 1810-4967 / 1812-9358
Published by: LLC CPC Business Perspectives (10.21511)
Total articles ≅ 701
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, Thu-Trang Thi Doan
Investment Management and Financial Innovations, Volume 18, pp 74-81; https://doi.org/10.21511/imfi.18(3).2021.07

Abstract:
This study investigated the impact of stock market development (SMD) on economic growth (EG) among emerging markets and developing economies (EMDEs) in Asia. The data sample includes eight Asian EMDEs (China, Indonesia, India, Sri Lanka, Malaysia, the Philippines, Thailand, and Vietnam) from 2008 to 2019. These countries share several similarities, so this ensures reliability of the results. Regarding the analysis, the generalized method of moments (GMM) is used for the estimation. The results show that SMD exerts a positive impact on EG. This finding confirms the importance of SMD in improving efficient capital accumulation and allocation, and also allows investors to reduce risks and increase liquidity, which will boost EG. Further, the significant influence of domestic credit (DC), control of corruption (CC), and inflation (INF) on EG is also highlighted. These findings are valuable empirical evidence that greatly contributes to reinforcing the suitability of classical economic growth theories, especially the theory of endogenous growth. They are also essential to EMDEs in Asia. Accordingly, the EMDEs should develop effective policies to improve the stock market’s scale, which contributes substantially to the development of EG. Moreover, these economies need to pursue many appropriate policies in sync, such as stimulating SMD, improving governance effectiveness and implementing effective macroeconomic policies. Acknowledgment This study was funded by the Industrial University of Ho Chi Minh City (IUH), Vietnam (grant number: 21/1TCNH01).
, , Xiaoxuan Huang, Xi Li
Investment Management and Financial Innovations, Volume 18, pp 372-384; https://doi.org/10.21511/imfi.18(3).2021.31

Abstract:
Forecasting multiple-step value-at-risk (VaR) consistently across asset classes is hindered by the limited sample size of low-frequency returns and the potential model misspecification when assuming identical return distributions over different holding periods. This paper hence investigates the predictive power for multi-step VaR of a framework that models separately the volatility component and the error term of the return distribution. The proposed model is illustrated with ten asset returns series including global stock markets, commodity futures, and currency exchange products. The estimation results confirm that the volatility-filter residuals demonstrate distinguished tail dynamics to that of the return series. The estimation results suggest that volatility-filtered residuals may have either negative or positive tail dependence, unlike the unanimous negative tail dependence in the return series. By comparing the proposed model to several alternative approaches, the results from both the formal and informal tests show that the specification under concern performs equivalently well if not better than its top competitors at the 2.5% and 5% risk level in terms of accuracy and validity. The proposed model also generates more consistent VaR forecasts under both the 5-step and 10-step setup than the MIDAS-Q model. AcknowledgmentThe authors are grateful to the editor and an anonymous referee. This research is sponsored by the National Natural Science Foundation of China (Award Number: 71501117). All remaining errors are our own.
Sudipa Majumdar, Rashita Puthiya, Nandan Bendarkar
Investment Management and Financial Innovations, Volume 18, pp 40-51; https://doi.org/10.21511/imfi.18(3).2021.04

Abstract:
In the Indian equity market, the Systematic Investment Plan (SIP) is the most popular strategy due to its convenience for disciplined investing regardless of market conditions. This study analyzes the excess returns of an extensive dataset of listed Indian companies from 2010 to 2019, along with a value-based version of the Multi-Criteria Decision Analysis (MCDA), to identify top performing stocks, based on their sectors and market capitalization. The findings of the study provide empirical evidence of Value Averaging (VA) as a viable alternative strategy over SIP (also known as Dollar Cost Averaging or Rupee Cost Averaging) as 352 out of 359 companies yielded higher returns under VA. The superiority of the VA strategy over the SIP was particularly marked in the consumer goods, financial services and industrial manufacturing sectors, with a clear dominance of small cap companies. The results also show that risk factors for VA strategy play an important role and should be taken into account, rather than base investment decisions on excess returns alone. The efficiency scores of individual stocks provide important insights for mutual funds, financial brokers and individual investors in India.
Kieu Minh Nguyen, Tu Minh Vu
Investment Management and Financial Innovations, Volume 18, pp 183-193; https://doi.org/10.21511/imfi.18(3).2021.17

Abstract:
Research on the capital structure of family firms has flourished in recent years, but the impact of performance aspiration and family ownership together on capital structure remains inadequately investigated. Therefore, the purpose of this study is to explore the impact of family ownership and under-aspiration performance and their interaction on capital structure. Panel data estimations were applied with a unique dataset of 3.857 observations from 387 public firms in Vietnam from 2010 to 2020 (134 family firms and 253 non-family firms). The results reveal that family ownership and under-aspiration performance each has a positive effect on capital structure. However, under-aspiration performance negatively moderates the positive effect of family ownership on capital structure. These findings contribute to a stream of studies on the capital structure of family firms by exploring the role of under-aspiration performance, as well as provide important implications for shareholders, managers and debtors in financial management.
Nataliia Savchuk, Tetiana Bludova, Dmytro Leonov, Olena Murashko,
Investment Management and Financial Innovations, Volume 18, pp 312-326; https://doi.org/10.21511/imfi.18(3).2021.26

Abstract:
The global financial market is undergoing transformational changes under the growing influence of innovative factors. Such changes are due, in particular, to the concentration and scaling up and diversification of the structure of financial services, the renewal of the financial sector on the basis of FinTech operations and blockchain technologies. This requires taking into account the impact of innovation factors on the transformation of the financial market in the dimension of FinTech. The study aims to identify the imperatives of global financial innovation and show ways to develop innovative models in the interpretation of S-curves for next-generation products using new technologies when key technologies on the previous S-curve become obsolete. Also, the matrix of financial innovations is presented and the synergy of its innovation models is proved.The results of the study are to prove that each of the presented models is not independent, it evolves and develops itself, as well as affects other models. This made it possible to identify prognostic pathways for the development of innovative models in their synergy in the form of two-ring motion. Thus, the study emphasizes the need for further research aimed at developing innovative models that will determine strategic decisions in the formation of innovation imperatives.
Gimede Gigante, Giovanni Maria Guidotti
Investment Management and Financial Innovations, Volume 18, pp 229-248; https://doi.org/10.21511/imfi.18(3).2021.21

Abstract:
The extraordinary growth of China from the early 2000s until now made it one of the biggest economies in the world. Over the years, more and more Chinese companies merged with the U.S. listed special purpose acquisition companies (“SPACs”) to become public and attract foreign capital. This paper examines the differences between this specific subsample of SPACs focused on completing a merger with a business located in China among those listed on the U.S. Stock Exchanges and the other U.S. listed SPACs. The intent is to verify whether the sample differs from the rest of the market in their main characteristics, have better, equal, or worse prospects of completing a merger, and offer better, equal, or worse returns to investors. 329 SPACs were identified, of which 41 targeting Chinese businesses. Logistic regression is performed to understand whether the China market focus influences the chances of consuming a business combination. Moreover, two different models (event study approach and buy-and-hold approach) are implemented to assess the share performances of the two subsamples. The conclusions that stem from the obtained results are that China-focused SPACs differ consistently from the rest of the market in certain features but need similar time to identify a target and close the deal. Focusing on China seems to be beneficial for the SPAC’s prospects of closing a deal, being statistically significant at a 10% level. Last, a portfolio composed of the sample SPACs’ shares overperforms the non-China one in both the short and long terms. Acknowledgment The authors would like to thank their brilliant student, Mr. Daniele Notarnicola, for the precious support given during the review of the paper.
Mohammad Fawzi Shubita
Investment Management and Financial Innovations, Volume 18, pp 142-150; https://doi.org/10.21511/imfi.18(3).2021.13

Abstract:
The cash flow statement aids the management to ascertain the profitability and liquidity position of a company. One can understand from the cash flow statement how efficiently the company is paying its obligation in various forms of liability and expense. This study aimed to explore the ability of short-term accounting accruals to predict cash flows. The sample included 77 Jordanian companies listed between 2006–2019. Cash flows were measured by net operating cash flows, and short-term accounting accruals were expressed as: change in account receivable, change in accounts payable, change in inventories, and other accruals. The results demonstrated the ability of short-term accounting accruals to predict future cash flows. The relationship between future cash flows and the short-term accounting accruals was significant, except for its relationship to the change in accounts payable. However, the findings indicate that the size of the company has not moderated the relationship between accounting accruals and operating cash flow. The study recommends using other accounting items besides short-term accounting accruals, to improve their ability to predict future cash flows and use of control variables that can increase the predictive power of the study model, such as financial leverage and company size. AcknowledgmentsI would like to thank Amman Arab University for its great support, and for funding this study.
Abdul Rahman Shaik
Investment Management and Financial Innovations, Volume 18, pp 52-62; https://doi.org/10.21511/imfi.18(3).2021.05

Abstract:
The study examines the influence of the cash conversion cycle (one of the components of working capital) on the firm profitability measured in terms of return on equity (ROE), return on assets (ROA), Tobin’s q, and gross operating profit (GROP) in the manufacturing sector of Saudi Arabia. The study selects a sample of 100 companies from nine industrial sectors listed on the Tadawul Stock Exchange starting from 2008 to 2019. A pooled regression is estimated to report the empirical results. The results report a positive and significant association between the components of working capital in terms of cash conversion cycle and the firm profitability in terms of ROA, ROE, and Tobin’s q, except for the GROP, where there is a negative and significant relationship. The study reports that the growth in firm performance is associated with supplier’s financing terms and inventory ordering cost. The results also show that larger firms are more profitable than smaller firms. Hence, the current study confirms the formulated hypothesis of having a significant association between the components of working capital and firm profitability.
Saji Thazhungal Govindan Nair
Investment Management and Financial Innovations, Volume 18, pp 127-141; https://doi.org/10.21511/imfi.18(3).2021.12

Abstract:
Pairs trading that is built on ’Relative-Value Arbitrage Rule’ is a popular short-term speculation strategy enabling traders to make profits from temporary mispricing of close substitutes. This paper aims at investigating the profit potentials of pairs trading in a new finance area – on cryptocurrencies market. The empirical design builds upon four well-known approaches to implement pairs trading, namely: correlation analysis, distance approach, stochastic return differential approach, and cointegration analysis, that use monthly closing prices of leading cryptocoins over the period January 1, 2018, – December 31, 2019. Additionally, the paper executes a simulation exercise that compares long-short strategy with long-only portfolio strategy in terms of payoffs and risks. The study finds an inverse relationship between the correlation coefficient and distance between different pairs of cryptocurrencies, which is a prerequisite to determine the potentially market-neutral profits through pairs trading. In addition, pairs trading simulations produce quite substantive evidence on the continuing profitability of pairs trading. In other words, long-short portfolio strategies, producing positive cumulative returns in most subsample periods, consistently outperform conservative long-only portfolio strategies in the cryptocurrency market. The profitability of pairs trading thus adds empirical challenge to the market efficiency of the cryptocurrency market. However, other aspects like spectral correlations and implied volatility might also be significant in determining the profit potentials of pairs trading.
Oloyede Obagbuwa, Farai Kwenda, Gbenga Wilfred Akinola
Investment Management and Financial Innovations, Volume 18, pp 1-15; https://doi.org/10.21511/imfi.18(3).2021.01

Abstract:
This study investigates how variation in monitoring intensity affects the efficiency of firms’ investment decisions in an emerging market in South Africa. The study hypothesis argues that the distraction of institutional shareholders has a statistically significant positive effect on corporate investment inefficiency. Using a more robust Generalized Method of Moments (Sys GMM) estimation approach to analyze data collected for firms listed at the Johannesburg Stock Exchange (JSE) for the period 2004–2019, the results showed that the distraction of institutional shareholders has a positive and statistically significant impact on investment inefficiency. That is, when the attention of institutional shareholders is shifted, the intensity of their monitoring drops, and the executive is involved in investment decisions that are not profitable. This insight has an implication for stakeholders and the value-creating corporate governance mechanism. The study concludes that institutional shareholders must always sustain their monitoring intensity to ensure that corporate decisions are consistent with the firm’s value.
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