Data Mining and Economic Application in the Age of Financial Big Data: A Case Study of Shadow Banking and Interest Rate Liberalization in China

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Features</td><td class="align_center">Implications</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Centralization</td><td class="align_center">With the bank as a core, it is manifested as the “shadow of the bank”</td></tr><tr><td class="align_left">Arbitrage</td><td class="align_center">Targeted regulatory arbitrage, violations of laws and regulations are commonly seen.</td></tr><tr><td class="align_left">Rigid payment</td><td class="align_center">There is a rigid payment or an expectation of rigid payment</td></tr><tr><td class="align_left">Channel charge</td><td class="align_center">The profit model of channel charge is widely seen</td></tr><tr><td class="align_left">Credit risk</td><td class="align_center">It is dominated by quasi-loans with prominent credit risks</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Features of shadow banking in China.</div>

Mathematical Problems in Engineering

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Table 1

Table 1: Data Mining and Economic Application in the Age of Financial Big Data: A Case Study of Shadow Banking and Interest Rate Liberalization in China 

Table 1 | Data Mining and Economic Application in the Age of Financial Big Data: A Case Study of Shadow Banking and Interest Rate Liberalization in China 