Evaluating Investors’ Recognition Abilities for Risk and Profit in Online Loan Markets Using Nonlinear Models and Financial Big Data

Abstract

Financial big data are obtained by web crawler, and investors’ recognition abilities for risk and profit in online loan markets are researched using heteroskedastic Probit models. The conclusions are obtained as follows: First, the preference for the item is reflected directly in the time and indirectly in the number of participants for being full, and the larger the preference, the shorter the time and the fewer the participants. Second, investors can discriminate the default risk not reflected by the interest rate, and the bigger the default risk, the longer the time and the more participants being full. Third, investors can discriminate the pure return rate deducted from the maturity term and credit risk, and the higher the return, the shorter the time and the fewer the participants being full. Fourth, default risks are reflected well by online loan platform interest rates, and inventors do not choose the item blindly according to the interest rate but consider comprehensively the profit and the risk. In the future, interest rate liberalization should be deepened, the choosing function of interest rates should be played better, and the information disclosure, investor education, and investor effective usage of other information should be strengthened.

Intelligent Application of Raw Material Supply Chain Planning System Based on Genetic Algorithm

“…(i) Crossover: set the crossover probability P C of the population to 0.6. Two chromosomes are randomly selected, and when the crossover condition is met, 2 intersection points are randomly generated, and the t1 cycle data of chromosome 1 is exchanged with the t2 cycle data of chromosome 2 [35] (ii) Variation: set the probability P m of variation for the population p m to 0. 01.…”

Prediction and Risk Assessment of Extreme Weather Events Based on Gumbel Copula Function

“…This article uses MATLAB software to check the fitting and prediction results of the wavelet neural network model 9 Journal of Function Spaces [31][32][33]. The results can be seen in Figure 9.…”

“…If we need to make the statistical results more accurate, we can choose a smaller spatial unit, such as selecting counties as the basic spatial units, then we can analyze the spatial regularity of weather events in a certain region or state. Further, we can change the research object and choose all things that may have spatial laws, such as economy, ecology, and population, and analyzing the spatial laws of such things will be of great significance to the scientific development of society [33].…”

Strategic Interactions in Environmental Regulation: Evidence From Spatial Effects Across Chinese Cities

“…On the one hand, in China's five-level government system, which includes the central, provincial, prefecture-level city, county (district), and town governments (Li et al, 2016;Ma et al, 2022), prefecture-level municipal governments represent the third level, linking superior government and grassroots government. Owing to the special system of political centralization and fiscal decentralization in China (Xu, 2011;Caldeira, 2012;Yu et al, 2016;He et al, 2021), a lower-level government has greater responsibility, which indicates that prefecture-level city governments are more responsible for environmental finance, compared to provincial governments. This correlation provides insights into the roles and behaviors of intermediate governments in environmental protection and governance.…”