Mathematical Finance and The Rise of the Modern Financial Marketplace

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Updated May 2024 (added non-banking financial sector), Updated March 2023 (added latest bank collapses in US/EU). First published July 5, 2010 (two years after the financial collapse triggered Great Recession).

Mathematical Finance is an area of applied mathematics that has developed rapidly during the late 80s and 90s after the deregulation of U.S. financial markets, and accelerated further in the 2000s concurrently with the rise of data science/’big data’ and computational platforms able to run complex models in close to real-time. For its financial models for risk and pricing, Mathematical Finance draws upon the partial differential equations of mathematical physics, stochastic calculus, probabilistic modeling, mathematical optimization, statistics, and numerical methods. The implementation of these often complex numerical mathematical models requires efficient algorithms and exploiting the state-of-the-art in software engineering (real-time and embedded development, low latency network programming) and computing hardware (FPGAs, GPUs, and parallel and distributed processing). Taken together, the technical aspects of mathematical finance and the software/hardware aspect of financial engineering lie at the intersection of business, economics, mathematics, computer science, physics, and electrical engineering. For the technologically inclined, there are ample opportunities to contribute.

But the relevance goes beyond mathematics. There is a kernel of core financial ideas that are at the heart of the global free market capitalist system that is in place across most of the world today. These ideas affect not only economics but also politics and society. Ideally, every citizen in a democracy should understand the essential mechanics of the modern financial world and how it has arisen, regardless of whether we agree with its principles or with the impact of the financial system on social structures.

This article presents a simplified account of the rise of the modern financial marketplace including some history, and contemporary financial context. Update (2012): A highly recommended graphic novel Economix, by Michael Goodwin has just been published that presents a panoramic yet highly accessible narrative.)

Backstory: 1929, 1990s, 2008, 2018, 2023…

Before we start, here’s a short recap of the past 25 years from a financial regulation perspective:

In 1999, Clinton and Congress removed the last remaining restraints on the financial industry that were put in place by Roosevelt in the famous Glass-Steagall Act of the 1930s specifically to address the root causes of the banking crisis of 1929 and the subsequent Great Depression. Ten years after Glass-Steagall was repealed, the Bear Stearns/Lehmann Brothers collapse brought on the financial crisis of 2008 and the Great Recession whose consequences were a decade of stagnation in western economies, the acceleration of income inequality, and a resurgences of nationalism across UK, Europe, and the US. The severity of the crisis led to a limited package of restraints being placed on the US financial system in 2010 through the Dodd-Frank act, but this was repealed by Trump in 2018, leaving the financial market again largely deregulated.

Update 2023: In March 2023, another round of US bank failures beginning with the Silicon Valley Bank (SVB), the 16th largest bank in the U.S., and the collapse in just one week of two US banks that together hold over $300 billion in total assets (more than the largest single US bank failure history in 2008 Washington Mutual). The contagion spread to Europe with Credit Suisse impacted, the 2nd largest bank in Switzerland and one of the top 8 global investment banks of US/UK/EU. Housing market decline, increasing unemployment, and bank failures, mark the three signs of an impending recession – the bank failures have completed the set.

Update 2024: 20 years of low interest rates ending in 2023 created a boom in debt-fuelled investments, including private equity, venture capital, and other non-bank sources of capital. COVID created a sharp segmentation of winner and loser businesses, the former becoming appealing targets for rapid investment and high returns, and the latter becoming targets for takeovers/sales as they ran out of capital. The size of the non-banking financial sector (in UK it serves up to 50% of private sector funding), is a new non-regulated financial engine that is being looked at more closely to try to manage the chain reactions and catalysts that can convulse markets and financial stability.

(See Recommended Reading).


0. What is Mathematical Finance?

Mathematical Finance, also called Quantitative Finance, is that branch of applied mathematics that is applicable to the needs of financial markets. Mathematical Finance develops and extends the models of financial behavior that are suggested by financial economics. Since the future is inherently unknown, mathematical finance is a data-intensive, stochastic subject and relies on simulations for many of its modelling formulations, for computing expected values of investment portfolios, and for evaluating and enhancing its trading strategies. Those who work in this field are called “quants”, an abbreviation for quantitative analyst, or financial analyst.

Financial Engineering, also called Computational Finance, is focused on the practical implementation of the models of mathematical finance and the simulations necessary to evaluate trading strategies. The mission is the engineering design and development of platforms and systems, often real-time, that are able to take in financial data and rapidly perform the large scale numerical simulations (monte-carlo, simulated annealing, etc.), for computing the likelihood of various outcomes and exploring refinements toward a preferably risk-minimizing strategy.

1. A Brief Sketch of Mathematical Influences on Economics and Finance

We assume one has a reasonable understanding of Economic history. (If not, see A Brief History of Economics, or this captivating presentation Economix: How and Why Our Economy Works (And Doesn’t Work).

As part of this overall progress, there are a few noteworthy phases of in which mathematics had a significant influence on the direction of economic thinking and practice.

1. 3100-2000 BCE – The rise of systematic accounting and quantified control of the productive capabilities of society. The Sumerian period from the birth of written accounting to Ur III – The first quantitative steps were at the dawn of writing for the purposes of accounting of trade and production in the earliest large city state Uruk in ancient Sumer under the auspicies of the temple system. This evolved into the scribal function which consolidated the use and application of accounting to the productive economy of the city-state. It culminated in the empire of Ur III, under King Shulgi, in which predictive accounting was applied to every aspect of production for yields, quotas, taxation, and the organization of labor, including an early form of differential equation used to calculate the population of cows after 10 years based on assumptions about population growth.
See [Hoyrup, 1991], [Nissen/Englund/Damerow, 1990], [Englund, 1992], [Hoyrup, 2001]

2. 1200s CE – Commercial mathematics – The Italian mercantile culture of the 1200s inherited the algebraic advances of Arabic/Islamic science (al-Khwarizmi, 800s CE; Omar Khayyam 1100s CE), and applied it to the growing financial activities between the Italian city states. Fibonacci (Leonardo of Pisa) wrote the Liber Abaci (Book of Calculations), which treated present value of cash flows, future interest rates from loans or annuities. These calculations laid the foundations of credit and banking in Europe through present value computations.
See [Akyildirim, Soner, 2004]

3. 1500s – 1700s CE – Investigations into probability and applications to games of chance. Cardano, Pascal, Fermat, and the Bernoullis developed the theories of combinatorics and applied them to calculating probabilities, determining the price of derivatives, and price/utility functions.

4. 1800s CE – Calculus-based marginalist period – Economics borrowed methods from science and used the calculus to try to develop a formal theory of economics. Because the main tool was calculus, the assumptions were based on smooth functions. People: Jevons, Walras, Fisher, Cournot, Dupuit, Morgan, Pareto, Laurent.
See Mathematical Economics in the 19th century, N. Bezzola, 2020

5. 1900s – The discovery and application of Brownian motion to economic trajectories was in the work of Bachelier (1890s-1910s) and Norbert Weiner.

6. 1930s – Kolmogorov rigorized probability theory and introducing the ideas of conditional expectation which are at the foundation of producing prices of derivatives.

7. 1940s – at least 1980s – Mathematiziation of Economic Modeling and the Introduction of Optimization as the driving paradigm (1940s onward) – The rise of industrial engineering, systems theory, and the general war-time shift to quantitative, scientific methods to solve complex systems and supply chain problems, led to the application of these approaches and methods to formulating and solving economic problems. Optimization under constraints, mathematical theory of equilibria, game theory, and decision theory all arose out of this way of thinking. People: Leontief, Samuelson, von Neumann, Nash, Arrow, Black, Scholes.
See the influence of Paul Samuelson on mathematization of economics.

8. 1990s – at least 2020s – Modern quantitative mathematical finance (1990s – at least 2020s) incorporation of techniques from broad areas in physics, mathematics, and engineering: mathematical optimization, linear programming, stability, optimal control, variational analysis, brownian motion, stochastic modeling, and dynamical systems. The primary approach is to model an economy as a particle in a high dimensional space and understand it’s trajectory under the influence of controlled and stochastic forces. At a micro level, the interest is in cash flows and portfolios of financial instruments with associated cash flow streams, risk profiles, and the desire to optimize trading/investment decisions. People: Ito (stochastic differential equations, and stochastic calculus)
See A Brief History of Mathematics in Finance [Akyildirim, Soner, 2004], and [Weintraub, 2002]

2. Motivation: A Simplified Account of the Rise of the Modern Financial Marketplace

How did financial mathematics arise and why is it needed? In what follows, I’ll motivate the need for financial mathematics through a simplified account of the rise of the modern financial marketplace.

For all its present complexity, the evolution to the modern financial marketplace appears quite natural when viewed as the response to three basic questions that have been asked, over time, by increasingly more powerful actors, and involving increasing larger sums of capital. The three basic questions are:

  1. I have excess capital (cash) – where can I put it safely?
  2. I need capital – where can I get it reliably?
  3. I want to improve upon my present capital position and reduce the exposure of my capital to risk – how can I do this?

Let’s take a look, moving from early history to more modern times. To keep the narrative light, I’m going to assume for the first part that you’re the one with excess capital. In the second part, I’ll take up the perspective from the point of view of a banking house in the pre-modern era of emerging statehood, national interests, expanded commerce and larger standing armies.

Along the way, observe how the increasing complexity of possible financial transactions leads to increasingly complicated questions of valuation, risk, terms, discounts, offers, and profit margins. These are the calculations that, carried forward to modern times and the modern financial landscape, form the subject of mathematical finance.

From Excess Capital and Mattresses to Money-lending and Banking Houses

Stage 1: Keeping Excess Capital in your Mattress or in a Hole

You have excess capital. Where do you put it? You could keep it in your mattress. There, it will earn no interest. And there is the attendant risk of theft, fire, rats, moisture and other ways in which your capital can be diminished.

Why? Because you are a little guy. Living in a little home. Vulnerable to being bullied, robbed, and ransacked. If it were known that you had a lot of cash in your mattress, you can be fairly sure of the outcome. You would undoubtedly have the pleasure of marauders whose perception of the risk of harm from you or chance of being caught by the authorities is less than their expectation of the profitability of breaking down your bedchamber door and un-stuffing your mattress.

Burying your capital in a hole in the ground is only slightly better. In effect, a hole in the ground is a fee-free deposit vault, but unfortunately the combination is simply the location. If at best, no one sees you make your deposit and you tell no one, your funds are safe assuming no accidental discovery – wind, earthquake, a dog, or someone digging another hole in the same place. At worst, your deposit is seen or you are followed, and your capital is dug up soon after you disappear around the corner.

Even assuming that you are able to dig, bury, and cover your deposit in absolute secrecy, there is another downside: once deposited you no longer have ready access to your funds. Every access to your funds requires unearthing and reburial, and any failure of secrecy in the process can mean the disappearance of the remaining funds.

So, where do you keep your money safe against unexpected impoverishment but also get reasonably reliable, safe access to your funds?

Stage 2: Armed Security: A “Safe Mattress” For a Fee

In such circumstances, you might decide to arm yourself so that you can personally protect your small fortune. But this puts at risk the one thing that is required in order to enjoy your wealth – your life.

So, it is reasonable to consider placing your money into the care of an agent whose business is the safe keeping and defense of many people’s money, not just yours. They would have to be well armed and well protected in order to provide a vigorous defense of the physical security of your money. You would, of course, have to trust the agent, and they would have to be worthy of that trust, otherwise you have just watched your money run away under an armed guard of your own choosing. And ideally, you would like to be able to withdraw all or part of your money readily at any time.

Now, armed deposit takers who would offer these services of safekeeping and ready access to deposited money, would do so for a fee since the services involve no small risk of attack, and require arms and guards to address this risk. But since this is a more appealing choice than either a hole in the ground (access problems) or your mattress (security problems), there would be those more than happy to pay a fee for the service.

In this way, those with substantial excess wealth either become their own fortified depositories, or pay a fee for that service, leading to the development of professional money-holders.

Stage 3: From Money-holders to Moneylenders to Banks

Switching perspectives to the point of view of our armed agent: over time, he has become a well known and trusted money-holder who, for a fee, holds sums from an increasing number of members of the community, amassing an increasing volume of physical wealth. What does the money-holder do with all the money that is deposited with him?1

In all likelihood, those on sudden hard times needing a short infusion of capital, would have already come to the money-holder to inquire about the possibility of obtaining a loan. Under the pressure of their own circumstances, they are likely to be willing to pledge an additional fee (interest) in addition to repaying the principal, for the benefit of being able to borrow.

But before making loans with deposited capital, the money-holder would have to consider carefully: firstly, the risk of a default by the borrower. In the event of a default, the money-holder would himself have to make whole the entire amount to repay the original depositor’s deposit, himself bearing the loss from default.

What does the money-holder do? If he is ambitious and risk-taking, he charges interest for loans and begins to function as a (non-insured) bank. On the one hand, he accepts deposits for a deposit fee and pledges to hold your money safely for you until such time as you want it back. But behind closed doors, he loans out your money to borrowers, and charges them a lending fee (interest). (We’ll discuss interest in more detail later.)

As this goes on, the money-holder/moneylender must consider a second risk and must decide how much of the deposited capital should be held in reserve and how much should be allowed to be let out the back door as loans to others. The risk from lending too much is the situation of not having enough liquidity to return a deposited amount when a depositor attempts a withdrawal. This situation becomes extreme when war, rumors, fear, unrest, or other unstable circumstances cause a large number of depositors to rush to withdraw their money in a short space of time.

However, apart from the risk of having insufficient liquidity to cover withdrawals, all other self-interested considerations strongly support the money-holder lending a portion of deposited capital. By doing so, he increases his profits. Not only is he taking fees from depositors, but he is collecting regular interest on loaning out the deposited capital, which otherwise would sit idle. The additional profits from interest can be structured so as to cover expected losses from defaulting borrowers, or those from whom collection attempts fail. Finally, in the event of attack, his loss exposure is reduced since the deposited assets are dispersed among borrowers.

From excess capital to money-holders, and from money-holders to moneylenders, we see individuals that formerly acted as holders of money or that had reserves of excess capital, begin to make loans and collect interest on these while continuing to charge fees to depositors to hold their money safely and make it available on demand. Thus, the origin of banking houses.

Why Ordinary Citizens Do Not Easily Become Moneylenders
If this is indeed a natural pathway, one might expect larger numbers of ordinary citizens with a sufficient amount of excess capital attempting to directly invest by making loans and collecting interest.

But doing so profitably requires an increasingly specialized infrastructure. There is the requirement of maintaining a sufficiently strong armed force to protect your capital and your person You would also need goons to collect the debts and payments from borrowers reluctant to meet their obligations. You would need a “counter”, or store front, to which depositors could come to withdraw or add funds, and to which prospective borrowers can come to request loans. Finally, you would need an accounting function to keep track of the payouts and receipts, as well as the profitability of the operation.

The two functions of rudimentary banking houses, money-holding and money-lending, have become a specialized business of their own, and it is this specialization that limits the number of participants.

How a Strong State Provides Further Impetus to Finance

The evolution of simpler money-lending and collection, to the more complex systems of contractual, asset backed loans accompanies the maturation of the nation state and its attendant institution: the rule of law, courts for claimants, the honoring of contracts as a state value, and state-backed enforcement.

All of these developments contribute to the maintenance of good order in financial transactions. The resulting financial stability benefits banking houses as well as all those engaged in capitalist activity: borrowers, lenders, merchants, speculators.

The Evolution of Lending
As time goes on, banking houses that hold money and lend money become an essential part of the fabric of personal and commercial life. With growing capital reserves among banking houses, and increasing familiarity and patronage by the affluent and ambitious of the city, banking houses now begin to compete with each other to try to attract depositors and borrowers, knowing that they earn fees from both and require both in order to continue their profitable business.

One area of competition among them is the terms for deposits and loans. For depositors willing to fix their deposit for a longer period, the banking house may offer a discounted deposit fee as incentive. This provides long term reliable liquidity – good news for lending.

For loans, there may be different fees for different types of loans: unsecured loans (risker) and secured loans (safer). Whereas defaulting on a loan in earlier times often meant enslavement or indentured servitude, the onset of state enforced debt protection laws limited the recovery of unsecured loans to the pittance that a debtor’s prison might afford – effectively these loans were write-offs.

Secured loans on the other hand, are backed by the title deed to an asset which is then held by the lending agent in case of the borrower’s default on the loan. Borrowers who secure their loan with an asset that they own reduce the lender’s risk of loss from default, since in such a case the lender gets the asset. A lending house being asked for a secured loan might therefore charge less interest to such clients.

Profiting from secured loans, however, requires that the lender (banking house) be able to accurately assess the value of the asset against the eventuality of having to dispose of it at some point in the future in order to recover the outstanding amount of the loan on which a borrower might default.

The Role of the State
Notice that evolution of the financial marketplace to one offering diversified loan products requires a vital change, brought about by the increased strength of the state. Most importantly, the notion of a secured loan requires a stronger notion of private property, of contracts, and an arena for the enforcement of contracts that is more than simply a contest of strength between debt collector and delinquent. Of course, a stronger state and stronger voices of the people also mean additional limitations. For example, the abolition of penal consequences for debt default makes unsecured loans increasingly risky from the lender’s point of view of guaranteed profit. Banking houses, rather than stifling the market by avoiding such loans, responded by factoring these new constraints into their risk and profit calculations, while continuing to lend.

The Rise of the Modern Financial Marketplace

With increasing confidence in the enforcement apparatus of the state and the reliability of contractual obligations, the stage is set for money to be borrowed by those offering incentives other than the typical interest or asset backed security. We then have venture capital, bonds, stocks, securities, and insurance.

And every diversification in the borrowing and lending business increases the incentive to develop better means of evaluating risks, assessing non-cash value, and forecasting valuations into the future, strengthening the role of financial analysis in the profit engine of the banking house.

From Moneylender to Financier (Venture Capital) and Investor (Bonds and Stocks)
One opportunity open to those with excess capital is the partial financing of a venture. A banking house or moneylender provides part of the capital in return for a share of the expected profits. The venture might be a trading expedition that requires capital to buy goods, a ship, and to pay a crew. A successful trading voyage promises to return with locally scarce items (spices, tea, woods, furs, metals) that will fetch a premium and allow the trader to repay the investment plus pay out a portion of the profits and still make out handsomely for himself and possibly the crew (if their labor was taken as an investment instead of for wages).

A less direct investment is the buying of a bond. A bond is issued by an individual or organization looking for capital and willing to repay the capital with interest. The only way to lose on a bond is if the bond-issuer defaults. In which case you will obtain a portion of the proceeds from a fire-sale of their assets.

Still less direct is the buying of a stock. A stock is issued by a company looking for capital and willing to pay out a dividend (share of the profits). Because a company that is doing well will be increasing likely to pay out dividends, their stock price rises. However, there is a risk that the opposite can happen, in which case the stock holder may lose all or part of their initial investment. But the fact that selling stock at the right time can yield substantial profits means that the stock market becomes attractive to those interested in relatively short-term speculation on the fortunes of businesses and industries.

In all three situations (venture funding, bonds, stocks), banking houses, through the 1700s and 1800s provided the crucial capital responsible for significant expansion of economic activity through overseas exploration, colonization, business expansion, infrastructure development, indeed, the bankrolling of governments, and the funding of warfare and standing armies. In return for their capital, they negotiated either some form of ownership in the venture or entitlement to a share of the profits. The arrangement meant profit for them, and liquidity for merchants, traders, adventurers, speculators, and governments – a Faustian bargain for some, but a source of significant economic benefit for others.

From Money-holder to Insurer: The Rise of Insurance
With the increasing complexity of the financial landscape and various contracts, loans, transactions, and investments, the desire increases for different kinds of insurance to offer protection against different loss scenarios: life, health, value, assets, business, fire, flood, earthquake, travel, default, a drop in value either through accident, attack, damage, loss, or insolvency.

The desire for insurance is obvious: one perceives a risk to ones wealth or investment and wishes to protect ones assets against diminishment due to unpredictable losses of various kinds. Clearly one would expect to have to pay a fee to the insurer for taking the risk of having to make whole the insured value. And, over time, these fees would diminish your capital. But, in the event of a catastrophe, you would at least not lose the entire asset.

From the point of view of the insurer, insurance is another business opportunity for those with excess capital. For a fee, one could insure the assets of others. Success in the business of insurance, even more so than the loan business, is directly related to the ability to accurately assess risk, likelihoods of various outcomes, and to charge appropriate premiums to allow the business to be profitable. The mathematics of profitable insurance pricing is actuarial science.

The Sovereign as a Borrower in the Financial Market
Perhaps the largest player in the evolution of finance to its modern day situation has been the entry of the sovereign himself. What institution can offer the greatest security against default? Historically, it was the sovereign himself, later the state, or government. But why does the government require liquidity? Typically it has been the desire for or threat of war, and the rapidly increasing cost of standing armies and modern warfare in general, that has forced the sovereign to seek additional liquidity beyond its natural base of income. Other reasons have been the construction of heavy infrastructure: roads, bridges, ports, airports, stadiums – all of which require cash. Or perhaps its treasuries are low and inadequate to cover the day-to-day needs of the state.

The sovereign or state typically has a good credit rating, i.e. is trusted to repay the loan. They have wealthy citizens, flourishing businesses, farms, etc., from all of which they collect taxes, a significant source of national revenue. So the sovereign issues a bond: that is, a contract that can be purchased. The contract is a pledge by the government to repay the face value of the bond at a fixed time in the future (maturity) and with a fixed interest rate.

In this manner, the rise of big government, nation states, and the exponentially increasing cost of warfare, of raising and financing standing armies, of building infrastructure, maintaining overseas holdings, all expanded the needs, volumes, and clients of financial activity to an inter-state level, including the government issuing of bonds.

Just as stocks did, bonds also become something that can be traded. They become assets with a face-value worth plus additional interest to be paid on them, and a (typically small) risk of default. By brokering the buying and selling of bonds, the financial markets have made lending an activity that everyone can participate in – small amounts from many people – thus the democratization, if you will, of money-holding and money-lending “to the masses”.

Expanded Mercantilism as a Catalyst for Financial Activity
Coincident with the rise of nations was the dramatic expansion of the middle class and the development of extensive and regular commerce and trade internationally, along with expeditions of exploration, conquest, and colonial exploitation. These activities also required capital, often on credit, often as investments, venture capital, or stock.

The accompanying proliferation of financial activity led to the creation of trading exchanges, brokers, insurers and re-insurers. Larger streams of cash flow, easier capital, all led to the rise and expansion of commodities markets, stock markets, bond markets, and various specialized exchanges for the trading of contracts, securities, and investment vehicles.

The various elements of the modern financial landscape were thus born: capitalists (those with excess capital), banks, financiers (banks, wealthy individuals), insurers and re-insurers, brokers, and exchanges becoming fixtures in the financial life of modern cities.

From Financial Analysis to Mathematical Finance: Investment, Valuation, and Risk Assessment
As the transactions and arrangements of capitalists and financiers (banks, wealthy individuals, moneylenders, insurers) became increasingly complex, there arose the need for better ways to compute the optimal strategies for assessing fees, generating profits, minimizing losses, forecasting changes in value, and developing profitable investment strategies.

Mathematics has always been involved, but in the past thirty years, the application of techniques of advanced mathematics have transformed both the ability to more accurately model financial behavior, and to manage risk more analytically. The collection and refinement of the techniques of valuation, risk assessment and investment strategy are at the heart of mathematical finance.


Recommended Reading

    Banking, Finance, and Bank Failures

  1. There’s a deeper story to Silicon Valley Bank’s failure. What can we learn from it? by Robert Reich, The Guardian, March 13th, 2023
  2. Silicon Valley Bank’s collapse will not be a one-off — a banking crisis was long overdue. by Larry Elliot, The Guardian, March 19th, 2023
  3. Asset total in 2023 bank failures catching up to 2008
  4. European failed banks, 1968-2012
  5. The Dodd-Frank Act (2010), article published before its repeal by Trump in 2018
  6. Get ready for the next housing crisis in UK: negative equity

    Understanding Economics and Banking

  7. [Goodwin, 2012] – Economix: How and Why Our Economy Works (And Doesn’t Work), by Michael Goodwin, 2012 (Online)
  8. [Weintraub, 2002] – How Economics Became a Mathematical Science, by Roy Weintraub, 2002 (Online)
  9. What investment bankers do – an informal guide

    History of Economics & Mathematical Finance

  10. A Brief History of Economics
  11. Aryildirim, Sonet, A Brief History of Mathematics in Finance, 2004 (Online)
  12. Economics in the Ur III society, the Dawn of Accounting in Ancient Near East (Sumer): [Hoyrup, 1991], [Nissen/Englund/Damerow, 1990], [Englund, 1992], [Hoyrup, 2001]
  13. Mathematical Economics in the 19th century, Nicola Bezzola, 2020
  14. Paul Samuelson’s Influence on Economics in the early 20th century
  15. Burnley Savings & Loans, otherwise known as “Bank of Dave”, was started by Dave Fishwick, with a mission to provide banking and loan services to the local community, supported by the local community, with profits reinvested back into the local community. “Bank of Dave” (2023, Netflix) is a semi-true, entertaining, and thought-provoking account of the founding of BS&L.

    The Evolution of the Economic Order

  16. 2024: The Quiet handcuffing of the WTO and Globalization
  17. 2024: The rise of the non-banking financial sector (50% of UK funding)
  18. 2024: The Ballooning of American debt to 96% of GDP
  19. The Rise of BRICS and preparations for a challenge to Dollar Dominance. BRICS dumping US Treasuries. Ukraine war accelerating creation of BRICS Pay, an alternate non-SWIFT based banking system championed by BRICS.

    Mathematical Finance

  20. Jim Burke: 5 Lectures on Basic Mathematical Finance:
    1. Cash Flow Streams, Present Value, and Internal Rate of Return;
    2. Financial Instruments, Bonds, Fixed Income Securities;
    3. Portfolio Modeling Using Linear Programming;
    4. The Term Structure of Interest Rates: Spot Rates and Discount Factors;
    5. Assets, Short Selling, and Optimal Portfolio Theory


Footnotes

1The money-holder could bury it in a hole, but this has the same disadvantages associated with an individual, only on a larger scale. Certainly, from the fees levied for this service, the money-holder would fortify his home and employ a larger group of better armed men to guard against attack. But if all of the capital resides in one location, even a well-guarded fort becomes an increasingly attractive target for coordinated assault, or treachery from within. Over time, simply holding money in one location becomes an increasing burden.

1 comment to Mathematical Finance and The Rise of the Modern Financial Marketplace

  • […] it should incorporate the views of the users of mathematical knowledge today: pure and applied mathematicians of course, but also scientists (physicists, astronomers, biologists, atmospheric scientists, geophysicists, oceanographers, chemists), engineers, computer scientists, economists, financial mathematicians. […]

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Maths Education

  1. Maxima: A Computer Algebra System for Advanced Mathematics & Physics
  2. Teaching Enriched Mathematics, Part 1
  3. Teaching Enriched Mathematics, Part 2: Levelling Student Success Factors
  4. A Course in the Philosophy and Foundations of Mathematics
  5. Logic, Proof, and Professional Communication: five reflections
  6. Good mathematical technique and the case for mathematical insight

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