Life Insurance
The goal of life insurance is to provide a measure of financial security for your family after you die. So, before purchasing a life insurance policy, you should consider your financial situation and the standard of living you want to maintain for your dependents or survivors. For example, who will be responsible for your funeral costs and final medical bills? Would your family have to relocate? Will there be adequate funds for future or ongoing expenses such as daycare, mortgage payments and college? It is prudent to re-evaluate your life insurance policies annually or when you experience a major life event like marriage, divorce, the birth or adoption of a child, or purchase of a major item such as a house or business. In recent times, application of statistics in Life Insurance has become widespread especially in the area of Pension funding, Annuities and related areas through a use of Markov chains. Our Statistics tutors being proficient in multiple areas i.e. Insurance and Statistics can provide you the quality and timely solutions in the form of undergraduate homework help, graduate assignment help, term paper help and exam preparation help. Following is the list of comprehensive topics in which we offer quality solutions:- Applied Business Research and Statistics
- The participating policy
- Stata
- Pension funding. Statistical life history analysis
- SPSS
- Binomial & Poisson Distribution
- R code and S-Plus
- Surplus and bonus
- Risk minimization in the framework of the theory of incomplete financial markets
- Matlab
- Extension to semi-Markov chains
- Probability
- Index-linked benefits (unit-linked, salary-dependent and others)
- Business And Financial Statistics
- Extension to the general multi-state policy
- Solvency and market value of insurance companies
- Pricing of embedded interest and mortality guarantees
- PHStat2
- Stata
- Portfolio analysis of combined insurance risk and financial risk
- Actuarial analysis of basic insurance products: life endowment, life annuity, life assurance, and disability insurance
- Measures of Dispersion- Standard deviation, Mean deviation, Variance
- Random Network Models
- Defined benefits vs. defined contributions
- Developments of life insurance policies
- Diffusion and jump process models for financial markets