Investor’s sentiment and non-life insurance demand during economic impairment: a big dataset analysis

Danish Ahmed; Xie Yuantao

doi:10.1117/12.2624180

19 December 2021 Investor’s sentiment and non-life insurance demand during economic impairment: a big dataset analysis

Danish Ahmed, Xie Yuantao

Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 121280U (2021) https://doi.org/10.1117/12.2624180
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China

Abstract

This paper examines the impact of investor’s sentiment on non-life insurance demand during economic impairment period. We used initial dataset of thirty-three (33) OECD countries over the period from 2007 to 2016 and employ biascorrected bootstrapping technique to create a big dataset with 10,220 observations. We argue that big dataset derived from bias-corrected bootstrapping technique will generate unbiased and efficient regression estimates. Our results showed that during economic impairment period risk-averse individuals will buy insurance policies to safeguard their wealth resulting in an increase in the demand for non-life insurance. Our findings are robust to different estimation techniques and also control for the potential endogeneities.

Citation Download Citation

Danish Ahmed and Xie Yuantao "Investor’s sentiment and non-life insurance demand during economic impairment: a big dataset analysis", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 121280U (19 December 2021); https://doi.org/10.1117/12.2624180

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