astronomy

John C. Hull (economist)

John C. Hull (economist) is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand John C. Hull (economist) rather than just read about it. In short: John C. Hull was a professor of Derivatives and Risk Management at the Rotman School of Management at the University of Toronto.

Key takeaways

John C. Hull (economist) belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect John C. Hull (economist) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of John C. Hull (economist) from memory before moving on to harder problems.

Reference excerpt

John C. Hull was a professor of Derivatives and Risk Management at the Rotman School of Management at the University of Toronto. He was a respected researcher in the academic field of quantitative finance (see for example the Hull-White model) and the author of two books on financial derivatives that are widely used texts for market practitioners: "Options, Futures, and Other Derivatives" and "Fundamentals of Futures and Options Markets". He had also written "Risk Management and Financial Institutions" and "Machine Learning in Business: An Introduction to the World of Data Science" He studied mathematics at Cambridge University (B.A. & M.A.), and held an M.A. in Operational Research from Lancaster University and a Ph.D. in Finance from Cranfield University. In 2016, Hull was appointed University Professor, the University of Toronto's highest academic rank, recognizing unusual scholarly achievement and pre-eminence in a particular field. In 1999, he was awarded the Financial Engineer of the Year Award, by the International Association of Financial Engineers. He had also won many teaching awards, such as the University of Toronto's prestigious Northrop Frye award. He had twin sons named Peter and David, and a wife named Michelle.

Selected publications A Neural Network Approach to Understanding Implied Volatility Movements" Quantitative Finance, 2020, forthcoming (with Jay Cao and Jacky Chen) Funding Long Shots" Journal of Investment Management, 17, 4, 2019 : 1-33 (with Andrew Lo and Roger Stein) Interest Rate Trees: Extensions and Applications, Quantitative Finance, 18, 7 (2018): 1199-1209 (with Alan White) Optimal Delta Hedging for Options, Journal of Banking and Finance, 82 (Sept 2017): 180-190 (with Alan White) A Generalized Procedure for Building Trees for the Short Rate and its Application to Determining Market Implied Volatility Functions, Quantitative Finance, 15,3 (2015): 443-454 (with Alan White) Collateral and Credit Issues in Derivatives Pricing, Journal of Credit Risk, 10, 3 (2014): 3-28 The Risk of Tranches Created from Residential Mortgages; with Alan White; Financial Analysts Journal; Issue: 66, 5; 2010; Pages: 54-67 The Valuation of Correlation-Dependent Credit Derivatives Using a Structural Model; with Mirela Predescu, and Alan White; Journal of Credit Risk; Issue: 6, 3; 2010 OTC Derivatives and Central Clearing: Can All Transactions Be Handled; John Hull; Financial Stability Review; Issue: July; 2010; Pages: 71-80 An Improved Implied Copula Model and its Application to the Valuation of Bespoke CDO Tranches; with Alan White; Journal of Investment Management; Issue: 8, 3; 2010; Pages: 11-31 the Valuation of Correlation-Dependent Credit Derivatives; John Hull, mirela Predescu, and Alan White; Journal of Credit Risk; Issue: 6 (3); 2010; Pages: 99-132 The Credit Crunch of 2007: What Went Wrong? Why? What Lessons Can Be Learned?; John Hull; Journal of Credit Risk; Issue: 5, 2; 2009; Pages: 3-18 Dynamic Models of Portfolio Credit Risk; with Alan White; Journal of Derivatives; Issue: 15, 4; 2008; Pages: 9-28

References

External links Home page of John Hull at the University of Toronto. This makes available many of his papers for download.

Worked examples

Example 1 — a first encounter with John C. Hull (economist)

Start with the simplest possible case. Write down what John C. Hull (economist) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to John C. Hull (economist) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about John C. Hull (economist) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of John C. Hull (economist)

In research: John C. Hull (economist) appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses John C. Hull (economist) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: John C. Hull (economist) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic staff of the Rotman School of Management, Alumni of Cranfield University, Alumni of Lancaster University, so understanding it makes those chapters shorter.
In everyday life: Look for John C. Hull (economist) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study John C. Hull (economist) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what John C. Hull (economist) means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain John C. Hull (economist) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is John C. Hull (economist) in simple terms?

John C. Hull was a professor of Derivatives and Risk Management at the Rotman School of Management at the University of Toronto.

Why does John C. Hull (economist) matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study John C. Hull (economist)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on John C. Hull (economist).