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Showing posts from November, 2023

What is Peer to Peer (P2P) lending?

  Kwami Ahiabenu ll Before banking or financial systems, individuals provided either cash or an item to another individual within an arrangement that the borrower would return said cash or item to the lender with or without interest in the future. Peer to Peer lending occurs when a lender and borrower transact business without the role of any intermediary. P2P lending differs from traditional lending whereby a financial institution serves as an intermediary, mobilising capital from its client base and lending.The fast-paced fintech innovation has driven peer-to-peer lending. According to  The Business Research Company,  global P2P lending is valued at US$143.64billion in 2023. Peer-to-Peer lending is categorised into: Informal P2P lending  — wherein an individual within a circle of friends or colleagues requests a loan, usually through face-to-face interaction or phone call. The transaction is usually undocumented and trust-based — on the network’s ability to influence the behaviour of

What is a Robo-Advisor?

Kwami Ahiabenu ll Investment is not an easy journey. The complexity of investment instruments, coupled with multiple investment offerings means a typical investor is faced with a maze to navigate when it comes to the decision-making process in terms of what investment options to consider, duration of the investment, risk analysis, types of investment portfolio and opportunities to consider. Traditionally, investment advisors play a crucial role in helping prospective investors make decisions on investment options which can lead to optimum investment decisions. In a fast-growing digital age where innovations in the financial sector are the norm, coupled with the rise of emerging technologies, especially big data, artificial intelligence and machine learning have given birth to Robo-advisors. A Robo-advisor can be described as a computer application that is based on an automated analytics processing system that combines algorithms, including machine learning, with big data to generate a