Quantitative Finance authors/titles Mar 2024 (2024)

Authors and titles for Mar 2024

[ total of 79 entries: 1-25 | 26-50 | 51-75 | 76-79 ]
[ showing 25 entries per page: fewer | more | all ]

[1] arXiv:2403.00006 [pdf, other]

Title: Local sensitivity analysis of heating degree day and cooling degree day temperature derivatives prices

Authors: Sara Ana Solanilla Blanco

Subjects: Pricing of Securities (q-fin.PR); Probability (math.PR)

[2] arXiv:2403.00009 [pdf, other]

Title: Randomized Control in Performance Analysis and Empirical Asset Pricing

Authors: Cyril Bachelard, Apostolos Chalkis, Vissarion Fisikopoulos, Elias Tsigaridas

Comments: 57 pages, 7 figures, 2 tables

Subjects: Portfolio Management (q-fin.PM); Computational Geometry (cs.CG); Computational Finance (q-fin.CP)

[3] arXiv:2403.00139 [pdf, other]

Title: Optimal positioning in derivative securities in incomplete markets

Authors: Tim Leung, Matthew Lorig, Yoshihiro Shirai

Comments: 22 pages, 3 figures

Subjects: Mathematical Finance (q-fin.MF)

[4] arXiv:2403.00471 [pdf, other]

Title: Idiosyncratic Risk, Government Debt and Inflation

Authors: Matthias Hänsel

Subjects: General Economics (econ.GN)

[5] arXiv:2403.00474 [pdf, ps, other]

Title: Volatility-based strategy on Chinese equity index ETF options

Authors: Peng Yifeng

Subjects: General Finance (q-fin.GN); Trading and Market Microstructure (q-fin.TR)

[6] arXiv:2403.00523 [pdf, ps, other]

Title: Assessing the Efficacy of Heuristic-Based Address Clustering for Bitcoin

Authors: Hugo Schnoering, Pierre Porthaux, Michalis Vazirgiannis

Comments: 20 pages

Subjects: General Finance (q-fin.GN); Cryptography and Security (cs.CR); Social and Information Networks (cs.SI)

[7] arXiv:2403.00653 [pdf, ps, other]

Title: Modelling Global Fossil CO2 Emissions with a Lognormal Distribution: A Climate Policy Tool

Authors: Faustino Prieto, Catalina B. García-García, Román Salmerón Gómez

Comments: 28 pages, 6 figures

Subjects: General Economics (econ.GN)

[8] arXiv:2403.00707 [pdf, other]

Title: Dimensionality reduction techniques to support insider trading detection

Authors: Adele Ravagnani, Fabrizio Lillo, Paola Deriu, Piero Mazzarisi, Francesca Medda, Antonio Russo

Subjects: Statistical Finance (q-fin.ST)

[9] arXiv:2403.00746 [pdf, other]

Title: A time-stepping deep gradient flow method for option pricing in (rough) diffusion models

Authors: Antonis Papapantoleon, Jasper Rou

Comments: 18 pages, 10 figures

Subjects: Computational Finance (q-fin.CP); Machine Learning (cs.LG); Probability (math.PR); Mathematical Finance (q-fin.MF)

[10] arXiv:2403.00770 [pdf, other]

Title: Blockchain Metrics and Indicators in Cryptocurrency Trading

Authors: Juan C. King, Roberto Dale, José M. Amigó

Comments: 26 pages; 14 figures

Journal-ref: Solitons & Fractals, 178, 114305 (2024)

Subjects: Statistical Finance (q-fin.ST); Cryptography and Security (cs.CR)

[11] arXiv:2403.00772 [pdf, other]

Title: Do Weibo platform experts perform better at predicting stock market?

Authors: Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov

Journal-ref: 2021, 22nd Engineering Applications of Neural Networks Conference (EANN 2021)

Subjects: Statistical Finance (q-fin.ST); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[12] arXiv:2403.00774 [pdf, ps, other]

Title: Regional inflation analysis using social network data

Authors: Vasilii Chsherbakov, Ilia Karpov

Subjects: Statistical Finance (q-fin.ST); Computation and Language (cs.CL); Social and Information Networks (cs.SI)

[13] arXiv:2403.00775 [pdf, ps, other]

Title: Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks

Authors: Alessandro Niro, Michael Werner

Comments: 12 pages, 2 figures, to appear in the ICPM 2023 Workshops Proceedings

Subjects: Statistical Finance (q-fin.ST); Databases (cs.DB); Machine Learning (cs.LG)

[14] arXiv:2403.00777 [pdf, ps, other]

Title: Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering

Authors: Ahmed N. Bakry, Almohammady S. Alsharkawy, Mohamed S. Farag, Kamal R. Raslan

Subjects: Statistical Finance (q-fin.ST); Machine Learning (cs.LG)

[15] arXiv:2403.00782 [pdf, other]

Title: Ploutos: Towards interpretable stock movement prediction with financial large language model

Authors: Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang

Comments: 8 pages, 4 figures

Subjects: Statistical Finance (q-fin.ST); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[16] arXiv:2403.00785 [pdf, ps, other]

Title: Applying News and Media Sentiment Analysis for Generating Forex Trading Signals

Authors: Oluwafemi F Olaiyapo

Journal-ref: Review of Business and Economics Studies. 2023;11(4):84-94

Subjects: Statistical Finance (q-fin.ST); Machine Learning (cs.LG)

[17] arXiv:2403.00796 [pdf, ps, other]

Title: Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting

Authors: Narayan Tondapu

Subjects: Statistical Finance (q-fin.ST); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[18] arXiv:2403.00819 [pdf, other]

Title: Jump detection in high-frequency order prices

Authors: Markus Bibinger, Nikolaus Hautsch, Alexander Ristig

Comments: 33 pages, 6 figures, 5 tables

Subjects: Statistical Finance (q-fin.ST); Statistics Theory (math.ST)

[19] arXiv:2403.01088 [pdf, other]

Title: Justifying the Volatility of S&P 500 Daily Returns

Authors: Hayden Brown

Subjects: Mathematical Finance (q-fin.MF)

[20] arXiv:2403.01360 [pdf, ps, other]

Title: "Digitwashing": The Gap between Words and Deeds in Digital Transformation and Stock Price Crash Risk

Authors: Shutter Zor

Comments: 34 pages, 4 figures, 8 tables

Subjects: Statistical Finance (q-fin.ST); General Economics (econ.GN)

[21] arXiv:2403.01468 [pdf, other]

Title: Properties of the entropic risk measure EVaR in relation to selected distributions

Authors: Yuliya Mishura, Kostiantyn Ralchenko, Petro Zelenko, Volodymyr Zubchenko

Comments: 16 pages, 7 figures

Subjects: Risk Management (q-fin.RM); Probability (math.PR)

[22] arXiv:2403.01745 [pdf, other]

Title: Uncovering the Sino-US dynamic risk spillovers effects: Evidence from agricultural futures markets

Authors: Han-Yu Zhu, Peng-Fei Dai, Wei-Xing Zhou

Subjects: General Economics (econ.GN)

[23] arXiv:2403.01770 [pdf, ps, other]

Title: Experimenting with Generative AI: Does ChatGPT Really Increase Everyone's Productivity?

Authors: Voraprapa Nakavachara, Tanapong Potipiti, Thanee Chaiwat

Subjects: General Economics (econ.GN)

[24] arXiv:2403.01964 [pdf, other]

Title: The Heterogeneous Productivity Effects of Generative AI

Authors: David Kreitmeir, Paul A. Raschky

Subjects: General Economics (econ.GN); Artificial Intelligence (cs.AI)

[25] arXiv:2403.02500 [pdf, ps, other]

Title: RVRAE: A Dynamic Factor Model Based on Variational Recurrent Autoencoder for Stock Returns Prediction

Authors: Yilun Wang, Shengjie Guo

Subjects: Portfolio Management (q-fin.PM); Machine Learning (cs.LG); Pricing of Securities (q-fin.PR)

[ total of 79 entries: 1-25 | 26-50 | 51-75 | 76-79 ]
[ showing 25 entries per page: fewer | more | all ]

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Quantitative Finance  authors/titles Mar 2024 (2024)

FAQs

Can quants make 7 figures? ›

I know on average quants make more in the first few years but I know successful traders at both banks and funds can make in the low to mid 7 figures 10-15 years into their careers whereas it seems to me that quant pay seems to peter out near the 1M mark at a lot of places.

Is it hard to get into quantitative finance? ›

How Hard Is Quant Finance? It take advanced-level skills in finance, math, and computer programming to get into quantitative trading, and the competition for a first job can be fierce. Once someone has landed a job, it then requires long working hours, innovation, and comfort with risk to succeed.

How stressful is quantitative finance? ›

Quantitative analysts have extreme stress dealing with large amounts of money that could be lost with poor choices. Work-life balance is skewed with long hours behind a desk.

Is quantitative finance high paying? ›

As of May 26, 2024, the average annual pay for a Quantitative Finance in the United States is $90,579 a year.

How much do Goldman Sachs quants make? ›

As of May 24, 2024, the average annual pay for a Quantitative Analyst Goldman Sachs in the United States is $133,877 a year. Just in case you need a simple salary calculator, that works out to be approximately $64.36 an hour. This is the equivalent of $2,574/week or $11,156/month.

How much do quants at Citadel make? ›

Average Citadel Quantitative Analyst yearly pay in the United States is approximately $173,752, which is 44% above the national average.

How much do quants get paid? ›

Quant Salary
Annual SalaryMonthly Pay
Top Earners$232,000$19,333
75th Percentile$199,000$16,583
Average$169,729$14,144
25th Percentile$134,500$11,208

Do quants make millions? ›

Quant trading strategies, which use mathematical models and algorithms to generate trading signals, have helped traders make millions of dollars in the stock market. Some of the most successful quant traders in the world have reportedly made billions of dollars for their investors.

What degree do most quants have? ›

A career as a quantitative analyst typically requires at least a bachelor's degree in a relevant field, such as mathematics, statistics, computer science, or finance. Many employers also prefer candidates with a graduate degree, such as a master's in mathematical finance or a PhD in a related field.

How smart do you need to be to be a quant? ›

Quant traders must be exceptionally good with mathematics and quantitative analysis. For example, if terms like conditional probability, skewness, kurtosis, and VaR don't sound familiar, then you're probably not ready to be a quant.

Do quants make more than investment bankers? ›

So, you could potentially earn between $200K and $300K USD in entry-level roles in this field. Yes, that beats investment banking salaries and private equity salaries, at least for roles directly out of undergrad.

What do quants do all day? ›

Quantitative trading (also called quant trading) involves the use of computer algorithms and programs—based on simple or complex mathematical models—to identify and capitalize on available trading opportunities. Quant trading also involves research work on historical data with an aim to identify profit opportunities.

How much does a masters in quantitative finance make in the US? ›

The estimated total pay for a Quantitative Finance Analyst is $168,162 per year, with an average salary of $103,084 per year. These numbers represent the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users.

What GPA do you need for quantitative finance? ›

Typical GMAT scores are 700 or greater. The average TOEFL score is 100, and average IELTS is a 7 or above. The typical GPA is 3.5 or greater.

Do you need a PhD to be a quant? ›

The most likely way into a quant job is to obtain a PhD in a mathematical discipline such as Physics, Engineering or CompSci. Clearly mathematical finance is a good area of research, but probability, stochastic calculus, statistical analysis and machine learning are all highly valued.

What is the highest salary for a quant? ›

$232,000

Is it possible to make a 7 figure salary? ›

A seven-figure job refers to the number of digits listed in your salary. This includes people who earn anywhere from $1 million to just under $10 million per year. Many people may consider this salary range to be well above average.

Can you make millions as a quant? ›

Quant trading strategies, which use mathematical models and algorithms to generate trading signals, have helped traders make millions of dollars in the stock market. Some of the most successful quant traders in the world have reportedly made billions of dollars for their investors.

Is 7 figures considered rich? ›

When referring to "seven figures," this typically means an annual salary that falls between $1,000,000 and $9,999,999. This income bracket places individuals and families in a distinct financial category, generally associated with significant wealth accumulation and financial success.

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