Stochastic Predetermination of Risk and Hedging Skills for Small Scale Entrepreneurs
Journal of Advances in Mathematics and Computer Science · pp. 1–13 · Published 25 Sep 2019
10.9734/jamcs/2019/v33i630195Abstract
Faced with the issue of hedging risk, small businesses entrepreneurs are investing considerable resources in risk management systems in as much as to maximize profit and stay operational, as such, the types of risk are identified and quantified within each business. This paper focused on the application of stochastic processes to prove that risk could be predetermined and hence determine which kind of small business should be insured to mitigate money spent on insurance.
References (12)
- 1 Martingales and stochastic integrals in the theory of continuous trading [DOI]
- 2 Brownian Motion and Stochastic Flow Systems. [DOI]
- 3 Mixed Poisson Processes [DOI]
- 4 The Pricing of the American Option [DOI]
- 5 Doubly Stochastic Poisson Processes [DOI]
- 6 Insurance Risk Models [DOI]
- 7 Interest Rate Models [DOI]
- 8 Risk measure pricing and hedging in incomplete markets [DOI]
- 9 Risk management based on stochastic volatility [DOI]
- 10 Optimal Entrepreneurial Decisions in a Completely Stochastic Environment [DOI]
- 11 Lectures on Risk Theory [DOI]
- 12 Mitigating Financial Risk for Small Business Entrepreneurs
Cited by 0
No indexed citations yet.
Related research
- Updates on Obstructive Sleep Apnea as a Risk Factor for Developing Diabetes: A Systematic Review — shares topic coverage
- Association between Risk Factors and Occupational Hazards among Health Workers in Port Harcourt, Nigeria — shares topic coverage
- Blood Stream Infections in Children with Malignancies: A Single Center Experience Risk Factors, Microbiological Isolates and Sensitivity Pattern — shares topic coverage
- HPV Infections among Women in the Community — shares topic coverage
- Risk Assessment of Staphylococcus aureus Food Poisoning Associated with Pork Barbecues in Daloa, Côte d’Ivoire — shares topic coverage
Article metrics
Real usage data collected on this platform.
59
Page views
0
PDF downloads
18
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.