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• 17 October 2023 - , Signal AI
• 24 October 2023 - , Deutsch Bank OTC Markets
• 7 November 2023 - , RBC Capital Markets
• 14 November 2023 - , S&P Global
• 21 November 2023 - , Citadel 
• 28 November 2023 - , BNY Mellon
• 5 December 2023 - Ben Wood and Amira Akkari, JP Morgan

• 11 October 2022 , Deutsche Bank
• 18 October 2022 , BNY Mellon
• 25 October 2022 , JP Morgan Chase & Co
• 1 November 2022 , Bloomberg
• 8 November 2022 , DeepMind
• 15 November 2022 , Qube Research and Technologies
• 22 November 2022 , Markit
• 29 November 2022  and  
• 24 January 2023 , JP Morgan
• 31 January 2023 , Capital Fund Management 
• 7 February 2023 , Cambridge Associates

19 October 2021

, Gresham Investment Management

How to set up a hedge fund

9 November 2021

, Commerzbank

FX Markets

16 November 2021

, Bloomberg

Structured Products post Covid

30 November 2021

, Gresham Investment Management

What can go wrong?

7 December 2021

, Outra

NLP in Industry

9 February 2022

, Qube Research and Technologies

In sample biases in systematic investing

16 February 2022

, Gresham Investment Management

Commodities

9 March 2022

, causaLens

Model Risk Management for DL and Investment Strategies

16 March 2022

Diego Medina Vargas, NatWest Markets

A Markovian approach to HJM

20 October 2020

 (Executive Director, Portfolio Quantitative Analytics, UBS)

The importance of Being (Earnestly) Collaterised

27 October 2020

and  (Gresham Investment Management)

How to set up a hedge fund 

17 November 2020

 and   (JP Morgan)

Deep Hedging

24 November 2020

, Founder and CEO of 

1 December 2020

 (Managing Director, electrinic FX Spot Trading, Deutsche Bank)

FX OTC Market Structure

2 March 2021

 (BNP Paribas Asset Management & Columbia University)

Deep Learning, Model Risk Management and Alpha Strategies

4 November 2019, 6:30 - 7:30pm

 (Executive Director, Portfolio Quantitative Analytics, UBS)

The Importance of Being (Earnestly) Collaterised

12 November 2019, 6 - 7 pm

and  (Devet Capital)

The Do's and Don'ts of Hedge Funds

19 NOVEMBER 2019, 6-8 PM

A MOCK INTERVIEW SESSION WAS HELD CONDUCTED BY INDUSTRY PRACTITIONERS

26 November 2019, 6-7 pm

 (Managing Director, electrinic FX Spot Trading, Deutsche Bank)

FX OTC Market Structure

21 January 2020

 and  from 

4 February 2020

, CFM

11 February 2020

, Banca IMI

10 March 2020

 and  from Devet Capital on Trading volatility: The VIX index

17 March 2020

 Jessica James from Commerzbank the lecture was CANCELLED due to COVID-19 and College closure.

16 October, 6-8pm

(DC Innovation Leader, Mercer) 
Investing for Retirement

23 October, 6-8pm

(Senior Manager, BlackRock) 
Tiziano Bellini Presentation‌

 30 October, 6-8pm

 
(Quantitative Analyst, JP Morgan) 
Deep Statistical Hedging

6 November, 6-8pm

 
(Executive Director, Portfolio Quantitative Analytics, UBS)
 

13 November, 6-8pm

 and  
(Devet Capital)
Commodity markets and commodity indexes: a practitioners’ introduction

4 December, 6-8 pm

 
(Managing Director, electronic FX Spot Trading, Deutsche Bank) 
FX OTC market structure

29 JANUARY, 7-8 PM

(Practitioner in Stress Methodology and Model Risk) Counterparty Credit Risk Stress Testing

5 FEBRUARY, 6-8 PM

 and 

(Quod Financial)  

12 February, 6-8 pm

Joaquin Narro, Managing Director, 

Forecasting Prices of Electricity Futures

19 FEBRUARY, 6-8PM

, University of Milan

26 FEBRUARY, 6-8 PM

Marc Henrard, Managing Partner at muRisQ Advisory and visiting professor at University College London.

5 March, 6-8 pm

Massimo Morini, Head of Interest rate and Credit models, 

12 March, 6-8 pm

, Managing Director, 

FX Option Anomalies

The FX option market is one of the largest and most liquid in the world.  So how could it have been wrong from the start?  Detailed data analysis shows that FX options are statistically mispriced, and have been for years.

• 22 March, 17:00-18:00 Clore Lecture Theatre (Huxley 213): Patrick McGuire (LMR Partners) on Practical Volatility and Credit Trading

       Abstract: Discussion of several topics relating to the practical challenges in the research and implementation of trading strategies in the volatility and credit asset classes.

• 21 March, 16:30-17:30 Huxley 139: Claude Martini (Zeliade Systems Paris) on Robust Calibration and No Arbitrage Interpolation of eSSVI Slices

      Abstract: We describe a robust calibration algorithm of a set of SSVI slices (i.e., a set of 3 SSVI parameters θ,ρ,φ attached to each option maturity available on the market), which grants that these slices are free of But- terfly and Calendar-Spread arbitrage. Given such a set of consistent SSVI parameters, we show that the most natural interpolation/extrapolation of the parameters povides a full continuous volatility surface free of arbitrage. The numerical implementation is straightforward, robust and quick, yielding an effective, parsimonious benchmark solution to the smile problem.

• 13 March, 17:00-18:00 Weeks Hall Lecture Theatre: Gordon Lee (UBS) on The Importance of Being (Earnestly) Collateralised

      Abstract: This talk gives an introduction to the increasing important that collateral agreements plays in various XVA and Credit Risk Exposure computation in finance. We will go through the interplay between collateral agreements and pricing, also looking at the future problems that need to take these issues into account.

• 13 February, 17:00-18:00 Weeks Hall Lecture Theatre:  and (Devet Capital) on February 5th: Black Monday for VIX, and VIX products 

      Abstract: In this lecture we will look at what happened on 5th Feb to VIX markets and VIX Exchange Traded Products. We will consider how the VIX futures can be used to build tradable VIX Indexes, such as the S&P 500 VIX Short-Term Futures Index. We will then analyse the most common VIX ETNs. For example, for the short ones, we will consider the necessary adjustments that have to be made in order to make them replicable, like daily rebalancing, termination thresholds and the risks that they may trigger. We will then review the events of 5th Feb that culminated in the withdrawal of some of the short VIX ETNs, after they experienced sudden losses in excess of 90% of the investments. We will consider where it all went wrong and the key points which need to have been learnt from the extreme events of last week.

• 14 December, 17:00-18:00 Huxley LT 144: (JP Morgan Chase) on Deep Statistical Hedging

• 7 December, 17:30-18:30, Huxley LT 139: (Norges Bank and ETH Zurich) on Next generation stress testing

      Abstract: We give an overview of the current regulatory stress tests that are conducted to assess financial stability. A key assumption in the current framework is that of “static balance sheets”, i.e. banks do not react to the stress scenario, but keep their portfolios unchanged during the stressed episode. Intense research efforts are trying to (i) introduce dynamic balance sheets for banks, (ii) include feedback effects between the financial sector and the real economy, (iii) model solvency – liquidity feedbacks, (iv) develop system-wide stress testing that includes other sectors beyond banks (asset managers, insurance companies, …) in order to develop “next generation stress tests”.

• 2 November, 17:30-18:30, Huxley LT 139: (Alcazar Investment Management Ltd / Bainbridge Partners LLP) on Commodity markets and commodity indexes: a practitioners’ introduction

      Abstract: In the first part of this lecture we will start introducing the most common commodity markets (energy, soft & grains, metals) and the concept of term structure of forward commodity prices as well as the typical commodity markets participants. We will then introduce the key concepts of contango and backwardation and their most common drivers, including examples of what may happen in certain extreme cases (such as strong demand/supply disruption or spikes) and the comparison with non-commodity assets. In particular we will discuss that:

i. for low supply / supply disruptions / demand spikes, it may be impossible to arbitrage a curve even when it is in extreme backwardation;

ii. for low demand / demand disruptions / excessive supply, traditional “cash and carry” arbitrage strategies may be implemented but they require access to the physical market and they may still fail if / when storage facilities become unavailable.

We will conclude the first part giving plenty of examples of the most common shapes a commodity curve may take depending on the nature of the commodity itself (for instance curves showing a strong seasonality, such as refined products or natural gas) as well as examples of commodity curve behaviour in extreme market conditions.

In the second part of the lecture, we will introduce the simplest examples of commodity indexes (such as trackers for individual commodities) and the reasons for their strong popularity among different types of investors; after comparing them with the most traditional equity indexes we will focus on the way they are constructed and we will make a clear distinction between the so called “spot” and “excess return” indexes; we will show that, due to the different rolling mechanism of the underlying futures contracts, “spot indexes” are not self-financing strategies and therefore they’re not suitable to be used as benchmarks for commodity investment products (such as ETFs), whereas “excess return” indexes are.

We will conclude showing that, by construction, “excess return” commodity indexes enjoy a flat forward term structure which makes them particularly tractable from and analytical point of view as well as easy to replicate in practice.

• 5 October, 16:30-18:00, Huxley LT 340: on Stress testing and risk integration in banks

Contents:

-The Need for Electricity: understanding how 45% of the world’s energy supply is processed through electricity plants

-The Cost-Price Conundrum: exploring the complexities of estimating the cost of production

-A Balancing Act: learning how supply and demand of electricity should be matched at all times

-The Power Market: analysing the building blocks of the wholesale market

-Pricing Futures: researching the uncertainties of pricing electricity futures