| Summary: | 碩士 === 輔仁大學 === 科技管理學程碩士在職專班 === 106 === As the world move toward FinTech Bank 4.0 and the advancement of
information technology, many technology companies combine the technology
with financial management in providing informative financial platform
service. Therefore, the rise of the robot finance service platform becomes a
direct competitor in financial management in the industry.
Some of US financial technology companies combine with big data and
professional investment knowledge has derived smart financial management
techniques targeting customer from lower end of middle class which is
rapidly emerged and developed in the States. The reason for raise of
“Finance robot” is traditional finance companies utilize high-cost operation
method in providing consulting service to limited number of customers. The
smart finance management industry has noticed the needs of the long-tailed
customers. Therefore, provides service with lower operational cost and
enable broader customer contacts which directly act on the inefficient parts
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of the traditional business model. As a result, rapid development of “Finance
robot” service is emerged.
There are three distinct characteristics to financial robot. First, consumer
can use the financial robot by himself, without the need for others to
participate or only needs limited participation. Secondly, algorithm can be
based on the information input by the investor and the result is calculated.
Lastly, the financial robot's output is a certain financial proposal.
Financial robots can be divided into two categories according to the
types of services they provided. The first category is used as a traditional
securities investment manager assistant tool to help the industry in providing
precise services to discretionary and wealth management clients. It is called
the “finance business use” tool; Classes are provided directly to investors for
use primarily as“investors use type”tools. If the service function is
provided, it can be divided into two types:“advisory type”and“asset
management type”.
With the algorithm's financial management services, the financial robots
are fully automated and serve the same purpose as the current program trading
of stocks in the world. By using the algorithm to search for features, and then
learning through historical data, it has a good evolutionary ability, and uses
the fear of investors to react with hope to evaluate the reasonable range of
stocks. The timing of using the financial robot algorithm's trading timing is
better, the bearish trend is obviously better than the broader market, the
bullish trend is close to the market buying strategy, and the overall investment
performance is better than the broader market. This is also the necessity of the
existence of financial robots is the operating performance command.
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Although wealth management robots can meet the long-tailed customers
with low asset capabilities and reshape the customer experience of financial
services, they should still pay attention to the possible replacement of part of
the wealth management industry's wealth management commissioners in the
development of financial robots, resulting in a large number of unemployment.
When Japan’s Mitsubishi UFJ, Royal Bank of Scotland, Deutsche Bank,
Credit Suisse and Citibank all announced the abolition of their employees and
the closing of branches and outlets, it is expected that European and American
banks will lay off 30% of their employees and reach 1.7 million in the next
decade.
Under the development of financial robots, government regulators and
financial institutions must consider the impact on the wealth management
industry. Wealth management business fee income accounts for a
considerable proportion of bank revenues. Wealth management robots may
have great misgivings about wealth management revenues at a low fee, which
will at least bring ignorance to traditional asset management with great
changes.
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