On the other hand, we say: profit = income - cost = (brokerage business income + investment advisory business income + value-added business income - new user marketing executive email list cost - old user operating cost) x number of transactions x user life cycle. This article mainly disassembles this profit model. The brokerage business income can be divided into four parts according to the business model: commission income, margin income, two financing interest income, and wealth management agency sales income. Commission income can continue to be executive email list dismantled according to the industry. Average value of commissions, generally speaking options>two financing>ordinary (stocks>bonds>funds).
Margin income refers to the business between the securities company and the depository bank. For example, if the customer's funds are placed in the securities company, the executive email list securities company will pay the customer an annual interest rate of 0.4%, and the securities company will receive a 3% annual interest rate from the bank. Borrowing interest, the intermediate income is margin income. The interest income of the two financing business refers to the interest that users need to pay to the brokerage based on executive email list the "lending" behavior of the two financing business. In addition to the open buying and selling. Wealth management agency sales.
Revenue refers to the sales of OTC fund products (basically public offering products) issued by fund companies through Zhongdeng’s TA and the financial back-office built by executive email list securities companies, and a few are obtained from private placement, asset management, income certificates, etc. income commission. Securities Products - Dismantling of Operational Planning (Part 2) If the brokerage business revenue is modeled, such a model can be obtained: revenue contributed by users = revenue contributed. by a single user x number of executive email list transaction users x time period = (average transaction amount x per capita transaction times x user life cycle) x (active users) volume x transaction penetration) x time period.