Impact of stock market volatility on mortality and cardiovascular events

Yap, Jonathan; Earnest, Arul; Lee, Vernon; Sng, Gerald; Lam, Carolyn S.P.; Yeo, Khung Keong

doi:10.1016/j.ijcard.2016.08.206

Cited by 7 publications

(9 citation statements)

References 4 publications

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“…In our study, a positive relationship was found between stock volatility and stroke events. According to the global burden of disease held in 2017, stroke was listed as the second leading cause of death and disability around the world (15). In 2017, there were 11.9 million incidences and 104.2 million prevalence.…”

Section: Discussionmentioning

confidence: 99%

Short-term effect of stock volatility and cardiovascular mortality: a systematic review and meta-analysis

Lian¹,

Ding²,

Zhang³

et al. 2020

Ann Transl Med

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Background: Cardiovascular disease (CVD) and stroke are leading causes of death. It has several risk factors, including stress and pressure. Stock volatility can cause acute stress for stockholders so that it can cause CVD events. Recently, the spread of new coronaviruses worldwide has affected economic development greatly, leading to more severe stock market fluctuations, so we systematically quantify the short-term effect of stock volatility and CVD events.Methods: Time-series analysis on the effect of stock volatility and cardiovascular events were concluded.We conducted a systematic literature search for studies published in PubMed, Embase, and Cochrane Data up to the date February 9, 2020. We assessed publication bias using Egger's test. Overall analysis and sensitivity analysis were conducted separately.Results: Four studies were finally included. Every 100-point increase in the stock market will bring about 1.01% increases in cardiovascular mortality [95% confidence intervals (CI), −0.18% to 2.21%]. The metaanalysis showed no statistical significance for cardiovascular mortality. Every 100-point increase in the stock market brought 1.01% increases in the cardiovascular mortality [95% CI, −0.18% to 2.21%]. In terms of stroke events, the estimated effect was 2.999% (95% CI, 0.325% to 5.673%). Different lag patterns also have effects on cardiovascular mortality. Every 100-point increase brought about 4.026% (95% CI, 1.516% to 6.536%) and 4.424% (95% CI, 1.145% to 7.703%) for lag 01 and 04 separately.Conclusions: Though our study has a number of limitations due to the limited studies included, it suggested that stock volatility had a lagging effect on CVD mortality, which may last for several days. Also, it might increase the incidence of stroke.

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Section: Discussionmentioning

confidence: 99%

Short-term effect of stock volatility and cardiovascular mortality: a systematic review and meta-analysis

Lian¹,

Ding²,

Zhang³

et al. 2020

Ann Transl Med

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“…Association between volatility in stock market and stroke, mental disorders, acute coronary syndrome and other cardiovascular diseases has been studied by various authors. (17,18,19,20) Day-traders also are at a risk of non-communicable diseases due to their sedentary lifestyle. There is an immediate need for researchers to explore the possibility of day-traders being a high risk population for non-communicable diseases.…”

Section: Non-work Relatedmentioning

confidence: 99%

Development, evaluation and validation of a financial stress scale for traders working in financial market

Saoji¹,

Saoji²,

Mitra

et al. 2019

Indian J Community Health

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Background: Stress due to financial aspects in life is increasingly common in today's world. It can lead to psychological consequences such as anxiety, depression and can also lead to other non-communicable disorders. Previous scales to measure stress; which are generalized and does not necessarily include the financial aspects of stress. Aims & Objectives The purpose of this research is to develop a valid and reliable instrument that can be used to assess stress among day-traders of stock market. Material & Methods: In a cross-sectional survey a questionnaire was prepared based on in-depth interviews with day-traders of stock market. Construct validity, test-retest reliability and inter-rater reliability were carried out. Cronbach's alpha ( ) was 0.85 for the 11 short-listed items, with item-total correlations of 0.2--0.8. Multidimensional scaling determined 2 dimensions -- work related and non-work related. Result: Results from this first study among day-traders in India indicate that traders are not immune to financial stress, with (78.9%) reporting high work related stress, (7.7%) reporting moderate work related and (13.4%) reporting low work related stress. Conclusion: this study identified a set of psychosocial stressors among day-traders and a stress scale (The Financial Stress Scale) was developed in the South Asian context.

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“…becomes an ordinary expectation, e.g. when e − ∫ t s νsds is independent of F s for all t > s. 6 This is a common simplifying assumption, however there is research linking mortality to economic variables such as stock market growth and volatility, see for example Yap. et.…”

Section: The Modelmentioning

confidence: 99%

“…where for the second equality we used (32). Since the diffusion term in the repre-sentation (37) must coincide with the diffusion term in the representation (16) for X t = X * t , we obtain by noticing (32) once more and solving for π * t :…”

Section: Martingale Approachmentioning

confidence: 99%

On the effects of changing mortality patterns on investment, labour and consumption under uncertainty

Ewald

Zhang

2017

Insurance: Mathematics and Economics

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In this paper we extend the consumption-investment life cycle model for an uncertain-lived agent, proposed by Richard (1974), to allow for flexible labor supply. We further study the consumption, labor supply and portfolio decisions of an agent facing age-dependent mortality risk, as presented by UK actuarial life tables spanning the time period from 1951-2060 (including mortality forecasts). We find that historical changes in mortality produces significant changes in portfolio investment (more risk taking), labour (decrease of hours) and consumption level (shift to higher level) contributing up to 5% to GDP growth during the period from 1980 until 2010.

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Impact of stock market volatility on mortality and cardiovascular events

Cited by 7 publications

References 4 publications

Short-term effect of stock volatility and cardiovascular mortality: a systematic review and meta-analysis

Short-term effect of stock volatility and cardiovascular mortality: a systematic review and meta-analysis

Development, evaluation and validation of a financial stress scale for traders working in financial market

On the effects of changing mortality patterns on investment, labour and consumption under uncertainty

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