Bob’s retirement model planning model prepared by idriss achour1
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This document summarizes Bob's retirement plan analysis prepared by Idriss Achour. It includes assumptions about Bob's current age, retirement age, savings rate, expected post-retirement income, investment returns, and current retirement fund balance. Graphs show how the age Bob runs out of money varies with retirement age, annual contributions, and post-retirement income percentage. A tornado chart identifies the sensitivity of output to changes in parameters. The recommendations suggest a retirement age of 65, increasing personal contributions, and aiming for modest post-retirement income.
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The document presents a retirement planning model for Bob based on various assumptions: Bob is currently 50 years old and plans to retire at 65. His current retirement fund is $150,000 and he contributes $9,500 annually. The model analyzes how changes to variables like retirement age, investment returns, and expenses impact how long his retirement funds will last. It finds Bob's funds would last until age 73 given current assumptions, but retiring later or receiving higher returns could extend that. A sensitivity analysis shows retirement age has the biggest impact on fund longevity.
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This document summarizes Bob's retirement plan using various assumptions about retirement age, income growth, investment returns, and savings. The model examines different scenarios such as a base case, worst case, and variable retirement age. It shows results like the age Bob runs out of money and his post-retirement income as a percentage of his final salary. A sensitivity analysis identifies the most influential factors. The recommendations are to delay retirement as long as possible, obtain higher investment returns, and adjust the percentage of income needed in retirement.
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This presentation provides a thorough examination of Over-the-Top (OTT) platforms, focusing on their development and substantial influence on the entertainment industry, with a particular emphasis on the Indian market.We begin with an introduction to OTT platforms, defining them as streaming services that deliver content directly over the internet, bypassing traditional broadcast channels. These platforms offer a variety of content, including movies, TV shows, and original productions, allowing users to access content on-demand across multiple devices.The historical context covers the early days of streaming, starting with Netflix's inception in 1997 as a DVD rental service and its transition to streaming in 2007. The presentation also highlights India's television journey, from the launch of Doordarshan in 1959 to the introduction of Direct-to-Home (DTH) satellite television in 2000, which expanded viewing choices and set the stage for the rise of OTT platforms like Big Flix, Ditto TV, Sony LIV, Hotstar, and Netflix. The business models of OTT platforms are explored in detail. Subscription Video on Demand (SVOD) models, exemplified by Netflix and Amazon Prime Video, offer unlimited content access for a monthly fee. Transactional Video on Demand (TVOD) models, like iTunes and Sky Box Office, allow users to pay for individual pieces of content. Advertising-Based Video on Demand (AVOD) models, such as YouTube and Facebook Watch, provide free content supported by advertisements. Hybrid models combine elements of SVOD and AVOD, offering flexibility to cater to diverse audience preferences.
Content acquisition strategies are also discussed, highlighting the dual approach of purchasing broadcasting rights for existing films and TV shows and investing in original content production. This section underscores the importance of a robust content library in attracting and retaining subscribers.The presentation addresses the challenges faced by OTT platforms, including the unpredictability of content acquisition and audience preferences. It emphasizes the difficulty of balancing content investment with returns in a competitive market, the high costs associated with marketing, and the need for continuous innovation and adaptation to stay relevant.
The impact of OTT platforms on the Bollywood film industry is significant. The competition for viewers has led to a decrease in cinema ticket sales, affecting the revenue of Bollywood films that traditionally rely on theatrical releases. Additionally, OTT platforms now pay less for film rights due to the uncertain success of films in cinemas.
Looking ahead, the future of OTT in India appears promising. The market is expected to grow by 20% annually, reaching a value of ₹1200 billion by the end of the decade. The increasing availability of affordable smartphones and internet access will drive this growth, making OTT platforms a primary source of entertainment for many viewers.
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-- June 2024 is National Volunteer Month --
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Bob’s retirement model planning model prepared by idriss achour1
- 1. BOB’S RETIREMENT MODEL PLANNING MODEL PREPARED BY: IDRISS ACHOUR PRESENTED BY NIKKI DUFOUR Retirement plan analysis Feb/15/ 2014
- 2. Assumptions Data fixed variable controlled Bob's Current Age 50 R Retirement age 65 R Savings Rate 3% R Postretirement Income (% of his final salary) 60% R Rate of return on Investments /year up to retirement = 8% R Rate of return on Investments /year after retirement = 5% R Age at death 80 R Age when wife dies 80 R Bob's Current Retirement Fund $ 150,000 R College % Invested 10% R Current Salary $ 100,000 R Bob Average Annual Contribution $ 7,500 R Age runing out of money $ 81
- 3. Data used Controllable data current and retirement age Annual Salary and increases Rates of return on investement Employer and personal contributions
- 4. Graphical presentation 50 60 70 80 90 100 110 AgeBobrunsoutof$ % Age of post retirment income Age Bob runs out of $ Postretirment income %
- 5. Graphical presentation 0 20 40 60 80 100 120 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 Bobrunsoutofthe$ Retirement Age Age Bob runs out of $ Retirement age
- 6. Graphical presentation 50 55 60 65 70 75 80 Bobrunsoutof$ Bob's annual contribution Age Bob runs out of $ Bob's annual contribution
- 7. Sensitivity parameter 56.00 61.00 66.00 71.00 76.00 81.00 86.00 91.00 96.00 101.00 Retirement age Postretirement Income (% of his final salary) Current Salary Rate of return on Investments /year up to retirement = Bob's Current Retirement Fund College % Invested Bob Average Annual Contribution Bob's Current Age Savings Rate Rate of return on Investments /year after retirement = Age at death Age when wife dies Output Measure Parameter Tornado Sensitivity Chart -20 Pct +20 Pct
- 8. Recoomendations Suggested age of retirement – 65 Personal contribution increased Modest post- retirement income