FinTech in Taiwan:a case study of a Bank’s strategic planning for an investment in a FinTech company

Introduction:Since 2015 is the year of FinTech in Taiwan,it is worth investigating the challenges that emerged when banks were encouraged to invest in FinTech companies for collaboration.This study aims to identify the strategic considerations in the process of searching for FinTech investment targets.Case description:This study used a case study investigation of a top-5 bank in Taiwan.The major data sources include the meeting notes of the FinTech investment task force and interviews with the team members.Co-opetition theory was adopted as the theoretical framework and interview questions were derived from the PARTS strategies in co-petition theory.The results relate to:(1)the strategic goals of FinTech investment,(2)the added value from FinTech companies,(3)criteria in selecting candidates in the same FinTech area,(4)choosing to work as either a cooperator or a competitor,and(5)barriers from policies and regulations.Discussion and evaluation:This study has several findings:(1)regulations and policies shape FinTech’s development;(2)banks,technology companies,and customers are not“FinTech ready;”(3)Compare top-down with bottom up strategies;(4)banks and FinTech companies have complex relationships;(5)it is unlikely that Taiwan will produce FinTech disruptors in the near future.Conclusion:The findings and discussion can benefit researchers and administrators in finance-related industries.More studies are desired to observe long-term development in terms of how companies collaborate or compete in specific FinTech areas.

Investigating the components of fintech ecosystem for distributed energy investments with an integrated quantum spherical decision support system

This study aimed to evaluate the components of a fintech ecosystem for distributed energy investments.A new decision-making model was created using multiple stepwise weight assessment ratio analysis and elimination and choice translating reality techniques based on quantum spherical fuzzy sets.First,in this model,the criteria for distributed energy investment necessities were weighted.Second,we ranked the components of the fintech ecosystem for distributed energy investments.The main contribution of this study is that appropriate strategies can be presented to design effective fintech ecosystems to increase distributed energy investments,by considering an original fuzzy decision-making model.Capacity is the most critical issue with respect to distributed energy investment necessities because it has the greatest weight(0.261).Pricing is another significant factor for this condition,with a weight of 0.254.Results of the ranking of the components of the fintech ecosystem indicate that end users are of the greatest importance for the effectiveness of this system.It is necessary to develop new techniques for the energy storage process,especially with technological developments,to prevent disruptions in energy production capacity.In addition,customers’expectations should be considered for the development of effective and user-friendly financial products that are preferred by a wider audience.This would have a positive effect on fintech ecosystem performance.

QFII in China Security Market： Status Quo and Investment Strategy

This paper firstly introduces the definition and features of QFII, and then mainly analyzes the QFII＇s portfolio performance and investment yield, as welt as stock market. And at last, it refers to the impacts of QFII＇s companies and supervision systems in China security market. the investment ideas and strategies of QFII in China investment styles and strategies on investors, listed

The Optimal Investment Strategy Based on the DEA Model

The Goodgrant Foundation is a charitable organization that wants to improve education performance of undergraduates attending colleges and universities in the US. So the foundation plans to contribute a total of US 50 million for a suitable team of schools per year under the condition of avoiding repeated other large grant organizations’ investment. The DEA (Data Estimate Analysis) model is developed to determine an optimal investment strategy for the Goodgrant Foundation. In this paper, two questions were solved: how to choose a suitable team of schools and how to allocate the investment. Before the establishment of the model, the EXCEL software is used to preprocess data. Then the DEA model which includes two models in the paper is developed. For the first question, the CCR model is established to rank schools which used efficiency from DEAP 2.1. For the second question, the resource allocation model is established to allocate investment amount by weights of allocation from MATLAB software. Accordingly, the optimal investment strategy is received for the Goodgrant Foundation. Through the analysis above, 23 from 293 schools are selected to invest. Then the schools are ranked and the investment of US 50 million for 23 schools is allocated.

Thoughts on Promoting the Investment and Financing Development of Enterprises'Intellectual Property Rights from the Perspective of Intellectual Property Strategy

With the in-depth implementation of China's intellectual property strategy,the situation of intellectual property protection in China has been further improved,the enthusiasm of the public for entrepreneurship and innovation has been further stimulated,people's awareness of intellectual property rights has been further enhanced,and the value of intellectual property rights has been further recognized by people.As a new economic form,"intellectual property economy"plays an increasingly important role in our socialist market economy.At the same time,China's intellectual property still faces some prominent problems,especially in the field of intellectual property investment and financing,such as difficult valuation,management and liquidation.From the perspective of the implementation of intellectual property strategy and starting from the investment and financing of intellectual property rights of small and medium-sized enterprises,this paper introduces the basic concepts of intellectual property investment and financing,the development status and existing problems of intellectual property investment and financing of small and medium-sized enterprises,and puts forward some suggestions for improving the investment and financing policy of intellectual property rights.

Innovative Strategies for Financial Investment Management Strategies of Enterprises in the New Era

With the in-depth development of economic globalization and the continuous emergence of new technologies,the importance of enterprise financial investment management strategy is becoming more and more prominent.The traditional financial investment management strategy can no longer meet the needs of enterprises in the new era and needs to be innovated with the times.For enterprises,the effectiveness and scientificity of financial investment management strategy will directly affect the competitiveness and long-term development of enterprises.Therefore,this study chooses the innovation based on the financial investment management strategy of enterprises in the new era as the research theme,aiming at exploring the innovative strategy to adapt to the needs of enterprises in the new era.

Investment strategy analysis of information system security in consideration of attackers

In order to solve the problem of howa firm makes an optimal choice in developing information systems when faced with the following three modes: development by its own efforts, outsourcing them to a managed security service provider( MSSP) and cooperating with the MSSP, the firm 's optimal investment strategies are discussed by modeling and analyzing the maximum expected utility in the above cases under the condition that the firm plays games with an attacker.The results showthat the best choice for a firm is determined by the reasonable range of the cooperative development coefficient and applicable conditions. When the cooperative development coefficient is large, it is more rational for the firm to cooperate with the MSSP to develop the information system. When the cooperative development coefficient is small, it is more rational for the firm to develop the information system by its own efforts. It also shows that the attacker's maximum expected utility increases with the increase in the attacker 's breach probability and cost coefficient when the cooperative development coefficient is small. On the contrary, it decreases when the cooperative development coefficient is large.

Investment Strategy of the Temasek Holdings

Sovereign Wealth Funds （SWFs） are generally known as investment funds owned by national governments and financed by the country＇s foreign currency reserves （dollar, euro, and yen）, often through their central banks or via direct investments. The study investigated the investment strategy of the Temasek Holdings as one of the most successful SWFs which is owned by the government of Singapore. Temasek Holdings was founded in 1974 to manage part of the government＇s revenues. Present turbulent times create a big pressure on healthy investment strategy of the SWFs. But total shareholder return for Temasek since its inception in 1974 has been a healthy 17% compounded annually. The main objective of the paper is to focus on the role of the Temasek Holdings as a company managed on commercial principles with an aim to achieve long-term sustainable returns. The study also analyzed Temasek Holdings＇investment strategy. The study provides answers to questions like： why Temasek is of the most successful SWFs and what is the fund risk management？ Another part of the paper compares investment strategy of the Temasek Holdings with other SWFs. The study has been conducted mainly on the basis of literature survey, secondary information and with using various web sites and research paper. The analysis has been also based on disclosures appearing in the Temasek annual reports over the period from 2008 to 2010.

Time-Consistent Investment Strategy for DC Pension Plan with Stochastic Salary Under CEV Model

This paper aims to derive the time-consistent investment strategy for the defined contribution(DC) pension plan under the mean-variance criterion.The financial market consists of a risk-free asset and a risky asset of which price process satisfies the constant elasticity of variance(CEV) model.Compared with the geometric Brownian motion model,the CEV model has the ability of capturing the implied volatility skew and explaining the volatility smile.The authors assume that the contribution to the pension fund is a constant proportion of the pension member's salary.Meanwhile,the salary is stochastic and its volatility arises from the price process of the risky asset,which makes the proposed model different from most of existing researches and more realistic.In the proposed model,the optimization problem can be decomposed into two sub-problems:Before and after retirement cases.By applying a game theoretic framework and solving extended Hamilton-Jacobi-Bellman(HJB) systems,the authors derive the time-consistent strategies and the corresponding value functions explicitly.Finally,numerical simulations are presented to illustrate the effects of model parameters on the time-consistent strategies.

Entrepreneurial, institutional and financialstrategies for FinTech profitability

Notwithstanding the emergence of FinTech startups in the financial services industry,most of these companies face significant difficulties in breaking even and surviving.This study examines the main managerial, institutional, and financial drivers of FinTechprofitability and the time it takes for these firms to break even. The database includesrelevant qualitative factors, such as foundational characteristics, the technologicalprofile of the startup, and its funding structure. Using the full population of FinTechstartups operating in Spain from 2005 to 2017, we observe that most of these firms areunprofitable within three years of their inception. Combining panel data and survivalanalyses, we empirically find that large and solvent FinTech firms founded by singleentrepreneurs in an incubator or accelerator program are more likely to be profitableand prevail. FinTech firms reach their break-even points faster if they receive fundingthrough seed capital.

Detecting the lead–lag effect in stock markets:definition,patterns,and investment strategies

Human activities widely exhibit a power-law distribution.Considering stock trading as a typical human activity in the financial domain,the first aim of this paper is to validate whether the well-known power-law distribution can be observed in this activity.Interestingly,this paper determines that the number of accumulated lead–lag days between stock pairs meets the power-law distribution in both the U.S.and Chinese stock markets based on 10 years of trading data.Based on this finding this paper adopts the power-law distribution to formally define the lead–lag effect,detect stock pairs with the lead–lag effect,and then design a pure lead–lag investment strategy as well as enhancement investment strategies by integrating the lead–lag strategy into classic alpha-factor strategies.Tests conducted on 20 different alpha-factor strategies demonstrate that both perform better than the selected benchmark strategy and that the lead–lag strategy provides useful signals that significantly improve the performance of basic alpha-factor strategies.Our results therefore indicate that the lead–lag effect may provide effective information for designing more profitable investment strategies.

Optimal Investment Strategy of Defined Contribution Pension Based on Bequest Motivation and Loss Aversion

Under the S-shaped utility of loss aversion,this paper considers the bequest motivation of pension plan participants,random salary income before retirement and the substitution rate between receiving pension benefits after retirement and wages before retirement,and studies the optimal investment strategy of defined contribution(DC)pension.Assuming that pension funds can invest in a financial market consisting of three assets(risk-free asset cash,rolling bonds and stocks),inflation is considered by discount.Under the S-shaped utility,the Lagrange method is used to find the terminal optimal surplus of pensions in retirement,so as to find the terminal optimal wealth,and then the martingale method is used to find the optimal wealth process and investment strategy.Finally,a sensitivity analysis is carried out on the the influence of bequest motivation and loss aversion on the optimal investment strategy of DC pension.

Value investing or investing in illiquidity?The profitability of contrarian investment strategies, revisited

Background:We investigate whether the success of contrarian investment strategies can be attributed to differences in the relative illiquidity of stocks categorized as value investments versus those categorized as glamour portfolios.Methods:Following Lakonishok et al.(J Financ 49:1541–1578,1994),we assess the illiquidity characteristics of portfolios that underlie contrarian investment strategies that are based on the level of stock’s book to market.Results:We find strong evidence that those portfolios characterized as value investments are associated with dramatically greater levels of illiquidity than glamour portfolios.We further demonstrate that strategies based on the illiquidity in the year prior to portfolio formation result in return characteristic of ostensibly contrarian strategies.Conclusions:These results suggest that the higher returns associated with contrarian investment strategies are the result of the higher illiquidity associated with value portfolios and represent compensation that the investor receives for accepting illiquidity.They also suggest that researchers should be cautious before attributing apparent anomalies to behavior-driven expectational errors rather than to other attributes unrelated to behavior,such as illiquidity.

Franchise Value Change Information of State-owned Commercial Bank and Securities Investment Risk

The investment strategy choice of state-owned commercial bank is related to its franchise value change information. This paper analyzes the franchise value change information of state-owned commercial bank. The franchise value change information shows that the franchise value of state-owned Commercial Bank is descending. Along with the descending of the franchise value, state-owned commercial bank strengthens its high risk investment motive when it chooses its investment strategy. State-owned commercial bank tends to run the high risk of investing securities because its investment variety is very sparse. Based on the theoretical principle of how to control securities investment risk, this paper proposes some countermeasures and suggestions that state-owned commercial bank strengthen the control of its securities investment risk in order to perfect its investment strategy.

Can China's Diplomatic Partnership Strategy Benefit Outward Foreign Direct Investment?

In the context of global integration, whether a diplomatic partnership strategy can promote outward foreign direct investment (OFDI) and how it works are very important issues for China.Based on a dataset featuring China's partnerships collected from the Ministry of Foreign Affairs website,we establish an empirical framework to assess the role of China's diplomatic strategy in its OFDI arising from partnerships since 1993. The results show that the establishment or upgrade of partnerships has had a positive effect on Chinese firms' decisions on OFDI for at least the short term, especially for firms with higher demand for policy guarantees from the government, such as noncentral firms and non-Beijing firms. The results also show that the increase in OFDI is concentrated in host countries with higher political risks, such as developing countries, neighboring countries, and Belt and Road countries,which is consistent with China's diplomatic focus.Our research proves that China's diplomatic strategy can assist firms to invest abroad.

Optimal Investment-Reinsurance Strategies for Insurers with Mean-Reversion and Mispricing under Variance Premium Principle

This paper considers a robust optimal reinsurance-investment problem for an insurer with mispricing and model ambiguity. The surplus process is described by a classical Cramér-Lunderg model and the financial market contains a market index, a risk-free asset and a pair of mispriced stocks, where the expected return rate of the stocks and the mispricing follow mean reverting processes which take into account liquidity constraints. In particular, both the insurance and reinsurance premium are assumed to be calculated via the variance premium principle. By employing the dynamic programming approach, we derive the explicit optimal robust reinsurance-investment strategy and the optimal value function.

Innovation and Development Strategies of Investment and Financing Modes for Circular Economy

Circular economy adapts to large-scale production, has higher requirement on technical level, and possesses positive externality. There- fore, circular economy requires a lot of financial support. Facing investment and financing problems of circular economy by enterprise, the govern- ment should strengthen the regulatory role, increase investment support on circular economy, strengthen the bank＇s green credit business, reduce barriers to business loans, diversify financing channels for enterprises, guide social investment＇s flow direction, and promote circular economy form- ing larger scale, thereby providing policy support for building a resource-saving and environment-friendly society.

Industries in Western Region Mismatch MNC Investment Strategies in China

Using the "matching extent" method,this article conducts a multi-perspective analysis on the compatibility of the investment strategies of the western region and MNCs,as well as national policies on foreign investment. Research indicates that low matching extent amongst the above three decision-makers is an important reason for the disadvantage of the western region in terms of FDI attraction,and this situation will not change in the short term. In addition,this article also sheds light on how to increase matching extent.