Select a stablecoin: USDT, USDC, PYUSD, or another major stablecoin approved by the instructor.
Background: issuer, launch date, main use, and market importance.
How it works: how it stays near $1, reserve assets, and purchase/redemption process.
Benefits and risks: explain at least three of each.
Stablecoins and banks: possible effects on deposits, bank transfers, cards, and payments.
Regulation: recent U.S. stablecoin regulation, including the GENIUS Act.
Your analysis: will stablecoins become an important part of the U.S. financial system? Support your answer.
Optional presentation: summarize how the stablecoin works, benefits/risks, bank/payment effects, regulation, and conclusion.
NEW Option 2 — Mutual Fund Selection and Analysis Using Python
One fund. One family member. One financial goal. Research a mutual fund, use Python to explore possible outcomes, and explain whether it fits the person’s needs.
Research: identify the exact fund/share class, goal, deadline, costs, risks, and one credible alternative. A fictional family profile is acceptable.
Run Python: use the project page’s notebook for 1-, 2-, and 3-year scenarios, with 10 full years of usable history.
Submit three items: a five-page report, a runnable .ipynb notebook with saved output, and the results ZIP containing tables, charts, data evidence, and settings.
Explain your conclusion: show how the evidence fits the goal and discuss the limits of historical-model estimates. A supported conclusion that the fund is unsuitable can earn full credit.
The title page, references, and chart appendices are outside the five-page count. The project is graded out of 100 points and is worth 10% of the course grade. Follow the linked project page for the complete requirements and rubric.
Describe major U.S. financial markets and primary financial instruments.
Explain the relationship between risk and return.
Identify major economic factors that influence interest rates.
Explain stock market efficiency.
Demonstrate a basic understanding of derivatives.
Explain financial intermediation and direct finance.
Analyze current monetary policy and its effects.
Communicate using standard financial and economic terminology.
Grading & Coursework
Component
Weight
Two Mid-Term Exams
40%
Final Exam
20%
Term Project
10%
Homework
20%
Quizzes
10%
Exams are closed book and closed notes. Quizzes are given at the end of class and also serve as attendance checks. Up to six missed quizzes are allowed without penalty.
Fall 2026 Letter Grade Scale
Course %
Grade
Course %
Grade
89.5–100
A
89.0–89.49
A−
88.5–88.99
B+
79.5–88.49
B
79.0–79.49
B−
78.5–78.99
C+
69.5–78.49
C
69.0–69.49
C−
68.5–68.99
D+
59.5–68.49
D
59.0–59.49
D−
Below 59.0
F
Course Policies — short reminders
Homework: due as assigned; late work may receive a penalty.
Make-ups: valid documentation is required; notify the instructor before an exam when possible.
Electronic devices: generally not allowed unless required for a class activity.
Extra credit: no more than 5 extra-credit points across opportunities announced by the instructor.
Academic integrity, AI, disability support, FERPA, and copyright policies are stated in the official syllabus.
Fall 2026 Schedule Subject to change
Date
Topic / Activity
Tue 8/18
Course Introduction
Thu 8/20
Gold vs. Stocks / Current-Market Discussion
Tue 8/25
Session 1: The Federal Reserve
Thu 8/27
Session 2: Monetary Policy – Part I
Tue 9/1
Session 2: Monetary Policy – Part II
Thu 9/3
Session 3: What Is Money? – Part I
Tue 9/8
Session 3: What Is Money? – Part II
Thu 9/10
Session 4: Crypto, Stablecoins & Digital Payments – Part I
Tue 9/15
Session 4: Crypto, Stablecoins & Digital Payments – Part II
Thu 9/17
Banking practice + First Midterm Review
Tue 9/22
First Midterm Exam
Thu 9/24
Session 5: Banking System — Part I (bank balance sheets, bank failures, the 2008 crisis)
Tue 9/29
Session 5: Banking System — Part II (SVB, deposit insurance, bank runs and systemic risk)
Thu 10/1
Session 6: Banking Regulation — Part I
Tue 10/6
Session 7: Money Creation & Fractional Reserve Banking — Part I
Thu 10/8
Session 7: Money Creation & Fractional Reserve Banking — Part II Session 8: Credit Unions & Banks in Jacksonville — Part I
Tue 10/13
Session 8: Credit Unions & Banks in Jacksonville — Part II
Thu 10/15
Session 9: Banking & Stablecoin Debates
Tue 10/20
Second Midterm Exam — In class · Sessions 5–9 · 40 True/False + 10 Multiple Choice · 2 points each
A 52-minute audio study review for Sessions 5–9. Each question is read aloud, followed by its answer, from Question 1 through Question 250. No added explanations. Pause before the answer to test yourself.
FIN310 Game Introduction — Buy and Sell Walmart Stock
Start here: learn how to find Walmart (WMT), buy shares, review your portfolio, sell part of your holding, and verify each transaction. All trades use simulated money.
What is your choice — GOLD or STOCKS?
Show your rationale. Work together in a group of
3 and be ready to explain why your group made that choice.
Part I — Money & Banking
Session 1 · The Federal Reserve
8/25
Federal Reserve history, structure, leadership, 12 Reserve Banks, Board of Governors, FOMC, dual mandate, major responsibilities, videos, and Quiz 1 study review.
Compare 100-, 50-, and 25-bps cuts, staying put, and a rate hike; trace consequences for inflation, jobs, the dollar, stocks, bonds, gold, households, retirees, and global stability. Includes the highlighted easing/tightening toolkit, QE/QT, New York Fed operations, and Quizzes 1–3.
Money versus income and wealth; M0, the monetary base, M1 and M2; bank deposits and money creation; velocity, inflation, interest-rate policy, QT, and federal debt. Includes interactive explanations, videos, homework, and 66 professor-approved questions and answers.
Session 4 · Crypto, Stablecoins & Digital Payments
9/10 & 9/15
Web3, blockchain, Bitcoin, stablecoin design and reserves, digital payments, bank-issued stablecoins, the GENIUS Act, financial risks, money and Treasury connections, and payment safety. Includes videos, hands-on activities, homework, and 50 professor-approved questions and answers.
SECOND MIDTERM MATERIAL: Sessions 5–9 · October 20 · In class
SECOND MIDTERM MATERIAL
Session 5 · Banking System & Bank Crises
9/24 & 9/29
Bank balance sheets, capital, liquidity, deposit insurance, supervision, and the lender of last resort. Case studies: the 2008 financial crisis and the failure of Silicon Valley Bank (SVB). Explore how bank runs and losses can spread through the financial system.
Why banks are regulated and how the Fed, OCC, and FDIC divide supervision. Explore U.S. banking history, Basel I–III, post-2008 Dodd-Frank reforms, the Volcker Rule, 2018 tailoring, and developments following the 2023 bank failures. Learn how capital (CET1 and risk-weighted assets) differs from liquidity (LCR and NSFR), and examine stress tests, living wills, deposit insurance, bank runs, and the GENIUS Act stablecoin framework. Includes explainer videos, an activity comparing stronger and weaker bank-risk signals, hover-or-tap definitions, interactive ratio calculators, a stress-test challenge, a quiz, and a bank-risk brief comparing risks, safety measures, and trade-offs.
Learn how loans create deposits and how banks earn income while managing risk. Compare the textbook money multiplier with modern banking: a 0% required reserve ratio does not allow unlimited lending. Explore reserve requirements, excess reserves, cash leakage, capital limits, and liquidity and stable-funding rules. Includes two video explanations, the interactive Build the Multiplier game, definitions you can hover over or tap, a detailed true/false quiz, a short homework write-up, and Ask Maggie AI.
Compare Jacksonville credit unions and banks, including VyStar, Community First, First Florida, RadiFi, and local bank alternatives. Explore member ownership, eligibility, fees, loan rates, branch/ATM access, institution size, and NCUA versus FDIC deposit insurance. Includes a review video, a 10-question true/false quiz with instant feedback, and simple homework: choose where to bank, check whether your savings are insured, and consider a hypothetical RadiFi job paying about $25 an hour.
Use evidence from the banking lessons to debate too-big-to-fail policies, stablecoins versus bank deposits, starting a bank, and responses to bank failures. Compare benefits, risks, regulation, and trade-offs; explain and defend your position.
Stablecoins for Business Owners & Investors | MBA: Strategy, Banking & Global Finance
Optional enrichment from an MBA management perspective: consider stablecoins through business strategy, banking, and global finance, with business owners and investors in mind.
Compare stocks, bonds, TIPS, gold, crypto, and mixed portfolios. Read simulated outcomes and purchasing power, watch both videos, and make a group investment decision.
Includes the choices tree, inflation scenarios, three-student group activity, and personalized FIN 310 decision certificate.
Investing During Inflation: Stocks, Bonds, Gold & Crypto Compared
See the calculations step by step · expand for all details
Companion to the professor-and-four-students video. These worked examples use this course calculator’s stated assumptions. They are reference calculations, not a transcript of every number spoken in the video. The baseline tables stay fixed while you experiment with the calculator.
1. Check the inputs before comparing
This worked example starts at age 22 and ends at 62: 40 years, or 480 monthly deposits. The first monthly deposit is $1,000; deposits rise 5% each year. The baseline uses 2.5% annual inflation, a 0.10% annual fee, equal deposits, and a 20% effective tax on pre-tax withdrawals. A 22% current tax rate is used only for the equal-take-home-cost comparison.
These are selected classroom inputs, not current yields or forecasts. All returns include reinvested income before the modeled fee. This savings example does not enforce account contribution limits or eligibility.
Asset input
Expected annual simple return
Annual volatility input
S&P 500 index
8%
16%
Blue-chip US stocks
7.5%
14%
QQQ-style growth
8%
23%
US + international stocks
7.7%
15%
High-growth mutual fund
8%
25%
US Treasuries
4%
6%
Investment-grade corporate bonds
5%
8%
TIPS (return is REAL)
1.5%
5%
Gold
4%
18%
Crypto / Bitcoin-like exposure
0%
65%
The TIPS input is a real return. The other return inputs are nominal. Volatility approximates the standard deviation of annual log returns; it is not a maximum loss.
2. Grow the monthly deposits — and calculate total money saved
The annual 5% increase applies to the deposit, not a guaranteed salary raise or investment return.
Monthly deposit in year y = $1,000 × 1.05^(y − 1) Year 1: $1,000 per month Year 2: $1,050 per month Year 3: $1,102.50 per month Year 40: $1,000 × 1.05^39 = $6,704.75 per month
Total deposits are not the final investment balance. Gains or losses are added by the investment model. All 16 choices use the same baseline savings habit.
3. Follow one month of compounding
Deposits arrive at the end of each month. Money already invested experiences that month’s return first; then the new deposit is added.
For a simple arithmetic demonstration only, suppose an investment earned exactly 8% every year with no fee or volatility. Its equivalent monthly growth factor would be 1.08^(1/12) ≈ 1.006434.
Month 2: $1,000 × 1.006434 + $1,000 ≈ $2,006.43
The actual calculator does not assume a fixed monthly return. It draws a different modeled return each month and includes the fee, as explained in step 10.
4. Build a mixed portfolio — returns and risk are different calculations
Portfolio weights specify how much of each investment the group chooses. For example:
60/40 expected nominal return = 0.60 × 8% + 0.40 × 4% = 6.4% per year, before fees
Volatility is not simply the weighted average of the two volatilities. It also depends on how the investments move together.
For two assets: Portfolio variance = w₁²σ₁² + w₂²σ₂² + 2w₁w₂ρσ₁σ₂ Portfolio volatility = square root of portfolio variance
For this 60/40 example, modeled stock–Treasury correlation ρ = 0: variance = 0.60² × 0.16² + 0.40² × 0.06² = 0.009792 volatility = √0.009792 ≈ 9.90% per year
These correlations are teaching assumptions, not claims about future markets. Portfolio weights are held constant by the model; it does not simulate an actual trading or rebalancing schedule.
5. Read lower, median, and higher outcomes
For each investment choice, the app simulates 3,000 complete 40-year paths, sorts the ending balances, and finds the 10th, 50th, and 90th percentiles.
Lower: 10th percentile of the simulated ending balances.
Median: 50th percentile; the middle of those ending balances.
Higher: 90th percentile.
The app interpolates between neighboring sorted values when needed. These are not three guaranteed market scenarios, ten-year periods, or worst/best cases. Outcomes below the lower and above the higher value can occur.
There is no single fixed-interest formula that reproduces a simulated median for a volatile investment. The value comes from the distribution of the modeled paths.
6. Compare all 16 options — full worked-example results
Fixed baseline: 2.5% annual inflation for 40 years; 0.10% annual fee; qualified Roth treatment; the deposits and return/risk inputs in steps 1–2. This table is a reference example and stays fixed while you change the calculator. Amounts are rounded from the unrounded simulation results.
Investment choice
Lower future balance
Median future balance
Higher future balance
Median buying power
S&P 500 index
$2,241,846
$4,777,007
$11,586,097
$1,779,104
Blue-chip US stocks
$2,345,186
$4,548,034
$9,785,452
$1,693,827
QQQ-style growth
$1,422,572
$3,807,028
$13,225,507
$1,417,854
US + international stocks
$2,276,328
$4,616,386
$10,521,949
$1,719,283
High-growth mutual fund
$1,263,062
$3,522,486
$13,557,087
$1,311,882
US Treasuries
$2,036,964
$2,629,894
$3,485,001
$979,453
Investment-grade corporate bonds
$2,173,585
$3,092,168
$4,588,070
$1,151,618
Inflation-linked Treasuries (TIPS)
$2,151,745
$2,666,853
$3,368,029
$993,218
Gold
$1,115,903
$2,181,121
$5,036,548
$812,316
Crypto / Bitcoin-like exposure
$147,456
$429,599
$2,184,143
$159,996
Treasury + corporate bond blend
$2,175,681
$2,867,834
$3,891,741
$1,068,069
Balanced 60/40
$2,475,478
$3,950,073
$6,629,328
$1,471,128
Conservative 40/60
$2,484,639
$3,487,602
$5,062,028
$1,298,890
Aggressive 80/20
$2,387,255
$4,391,604
$8,806,002
$1,635,568
Balanced + 10% gold
$2,485,975
$3,833,827
$6,196,311
$1,427,835
Balanced + 5% crypto
$2,202,079
$3,700,362
$6,706,601
$1,378,128
Future balances are nominal dollars at age 62. Buying power is measured in starting-year dollars. A larger median alone does not make an investment the right choice for every saver.
7. Remove inflation — compare what the dollars can buy
To translate a future balance into starting-year purchasing power, divide it by the cumulative price-level increase.
Use the same balanced 60/40 median to isolate inflation’s effect:
Inflation path
Calculation of price factor
Price factor
Median future balance
Median buying power
2.5% for 40 years
1.025^40
2.6851×
$3,950,073
$1,471,128
4% for 10 years, then 2.5% for 30
1.04^10 × 1.025^30
3.1049×
$3,950,073
$1,272,201
4% for 40 years
1.04^40
4.8010×
$3,950,073
$822,757
The 60/40 nominal balance stays the same here because this calculator holds nominal return inputs fixed when inflation changes. It isolates the purchasing-power effect. It does not forecast how inflation might change company earnings, interest rates, valuations, or asset prices. TIPS are the modeled exception: their nominal return changes with inflation.
8. Compare Roth and pre-tax accounts fairly
Roth and pre-tax describe tax treatment; the investment is a separate choice. The Roth example assumes qualified tax-free withdrawals. The pre-tax example assumes contributions receive the modeled current tax benefit.
After-tax pre-tax balance = balance × (1 − effective withdrawal tax rate) At a 20% withdrawal rate: about $3.95M × 0.80 ≈ $3.16M
With equal deposits, both start at $1,000 per month, but Roth costs more take-home pay. For equal household cost, the current tax rate matters:
After-tax pre-tax outcome at equal take-home cost = Roth-model balance × 1/(1 − 0.22) × (1 − 0.20) ≈ $4.05M for this 60/40 example
If the current and withdrawal tax rates are the same, those two tax factors cancel in this simplified model. Account limits, eligibility, deductibility, tax-law changes, and taxable-account overflow are not enforced. The app calculates with unrounded values, so displayed arithmetic can differ by a dollar after rounding.
9. Understand the TIPS and crypto calculations
TIPS: the input return is real. The app converts it into a nominal assumption for each year’s inflation path:
Nominal TIPS return = (1 + real return) × (1 + inflation) − 1 At 1.5% real return and 2.5% inflation: 1.015 × 1.025 − 1 = 4.0375% At 1.5% real return and 4% inflation: 1.015 × 1.04 − 1 = 5.56%
These are model inputs before fees, not a guarantee for a specific TIPS bond or fund. Market prices can fluctuate.
Crypto crash stress: the app separately applies an immediate loss to the crypto component at age 62.
Stressed ending balance = median balance × (1 − crypto weight × crypto loss) For 5% crypto and an 80% crypto crash: factor = 1 − 0.05 × 0.80 = 0.96 For complete loss of that 5% component: factor = 1 − 0.05 = 0.95
This extra stress is not part of the percentile simulation. It assumes no subsequent recovery. The main model does not capture fraud, lost access, or permanent catastrophic failure, and a 0% expected annual crypto return input does not guarantee a stable ending balance.
10. Advanced: reproduce the simulation steps
For expected annual simple return r, annual log-return volatility input σ, annual fee f, and a standard-normal draw z:
Start each path with balance = 0 and deposit = $1,000. Repeat for 480 months; increase the deposit 5% after each 12 months. Repeat for 3,000 paths; sort ending balances and interpolate percentiles.
The log adjustment connects the selected expected simple return to the lognormal return model. The fee is compounded monthly using its annual factor. For a TIPS allocation, the nominal expected return is recomputed for the inflation assumed in each year.
Mixed-portfolio covariance: equity assets load 0.9 on a shared equity factor; bonds load 0.8 on a shared bond factor; gold has its own independent factor; crypto loads 0.4 on the equity factor, with the rest independent. Residual asset-specific risks are independent. The app squares and sums weighted factor exposures and weighted residual risks, then takes the square root. These are chosen classroom correlations.
Fixed random seeds keep repeats reproducible. Outcomes are distributions for each choice rather than simultaneous realized investment paths. The model excludes changing market regimes, changing correlations, fat tails, employer matching, unplanned withdrawals, and many real-world disruptions.
11. Trace the group certificate back to the evidence
Use one pair of investments and record two different inflation scenarios with the same return/risk inputs and fee.
Choose one investment from that pair and select which recorded run the certificate should use.
The certificate retrieves that run’s saved outcomes, inflation factor, account comparison, fees, returns, and taxes. It does not substitute later calculator edits.
For Roth, the displayed amounts use the simulated ending balances. For pre-tax, they also apply the recorded household-cost scaling and withdrawal tax.
Median buying power equals the selected after-tax median divided by the saved inflation factor.
The certificate includes your group’s reason, accepted risks, and conditions for reconsidering.
The certificate congratulates the group’s decision-making. Its projected amount is not a guarantee. Smooth U.S. or global economic conditions would not ensure that result, and inflation, recessions, lost income, or other disruptions can affect actual outcomes.
12. Explain your decision with two numbers
Try this comparison using the fixed baseline: 60/40 has median buying power of $1,471,128, versus $1,635,568 for 80/20. But its lower nominal outcome is $2,475,478, versus $2,387,255 for 80/20. Those are different kinds of evidence; name which column and units you are comparing.
Then test inflation: for the same 60/40 nominal median, buying power falls from $1,272,201 under 4% for ten years then 2.5%, to $822,757 under 4% for all forty years.
Your group’s report: “We choose ___ over ___. Our two numerical comparisons are ___. We accept ___ risk. If ___ changes, we would reconsider.”
Try it yourself: enter a fund symbol, run the Python code in Google Colab, and view your results and charts. Change the fund and run it again to see the difference.
See the lab steps · expand for details
Choose a person and a goal. Saving for retirement and buying a house soon call for different choices.
Find a mutual fund. Use Yahoo Finance to check its investments, fees, and past performance.
Write and run Python code. Start with the lesson's code, enter your fund symbol, and run it in Google Colab.
Read the results. Look at returns, risk, and charts. Compare funds over the same dates.
Explore the future. Use the fund return lab to compare possible 1-, 3-, and 5-year outcomes. These are model estimates, not promises.
Explain your choice. Share your code, chart, and reasons the fund may fit the person's goal.
Homework: choose funds for yourself and your family. Explain why each choice fits, and support your answer with your Python results.
Session 11-A · Write an AI Prompt to Study Investment Funds
11/3 Class
No coding experience needed. Tell AI your goal, choose three funds, and ask for one small table and one graph.
Start with the simple prompt, try the optional advanced version, or create your own prompt. Then copy the Python code into Google Colab and explain your results.
Session 11-A also shows how to open Colab, browse for a notebook, save your own copy, and download results in a ZIP file when export code is included.
Trade simulated gold, crude oil, and S&P 500 futures. Compare long and short positions, follow daily gains and losses, and see what happens when equity falls below maintenance margin.
Includes three True/False practice quizzes and the homework on gold and silver price manipulation.