Stochastic processes and financial applications
Stochastic processes and financial applications is a research topic within Finance. Science Explorer counts 39k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the theory and applications of option pricing models, including topics such as stochastic calculus, jump diffusion, volatility modeling, mean field games, term structure models, risk premia, Monte Carlo simulation, and market microstructure noise in the context of financial economics.
- Option Pricing
- Stochastic Calculus
- Jump Diffusion
- Volatility Modeling
- Mean Field Games
- Term Structure Models
- Risk Premia
- Monte Carlo Simulation
- Market Microstructure Noise
- Financial Economics
- Research works
- 39k fractional, since 1950
- In the world top 10%
- 3.9k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +4% the tick is no change
- Largest producer
China
36% of the 10 largest, 2022-now
Which countries lead Stochastic processes and financial applications research?
By volume, China and the United States publish the most (1.5k and 800 works in 2022-now).
By volume, 2022-now
- 1
China 1.5k works
- 2
United States 800 works
- 3
France 345 works
- 4
United Kingdom 298 works
- 5
Germany 269 works
- 6
Italy 241 works
- 7
Canada 177 works
- 8
Japan 171 works
- 9
India 160 works
- 10
Russia 157 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Stochastic processes and financial applications research?
By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Stochastic processes and financial applications research, followed by Shandong University and Russian Academy of Sciences.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 126 works
- 2
Shandong University
China 78 works
- 3
Russian Academy of Sciences
Russia 47 works
- 4
Imperial College London
United Kingdom 34 works
- 5
Chinese Academy of Sciences
China 33 works
- 6
University of Oxford
United Kingdom 27 works
- 7
University of Bologna
Italy 26 works
- 8
Columbia University
United States 24 works
- 9
New York University
United States 23 works
- 10
Taras Shevchenko National University of Kyiv
Ukraine 22 works
Who are the leading researchers in Stochastic processes and financial applications?
The most-cited researchers publishing on Stochastic processes and financial applications include Eugene F. Fama, Leo Breiman and Andrei Shleifer.
- 1
Eugene F. Fama
United States 262k citations
- 2
Leo Breiman
United States 243k citations
- 3
Andrei Shleifer
United States 234k citations
- 4
Sw. Banerjee
France 199k citations
- 5
Harry Eugene Stanley
United States 198k citations
- 6
Bruce Leonard Miller
United States 196k citations
- 7
Daniel A. Bloch
France 190k citations
- 8
R. W. L. Jones
United Kingdom 189k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Stochastic processes and financial applications research done?
The largest centres of Stochastic processes and financial applications research in 2022-now are Beijing (China), Shanghai (China), Paris (France) and Jinan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Bielefeld and Palaiseau.
Largest cities, 2022-now
Where it is the local speciality
- BielefeldDE · 22.5 works14×
- PalaiseauFR · 32.2 works13×
Location quotient: how much more of its research is in Stochastic processes and financial applications than the world average.
Where is the best place to study Stochastic processes and financial applications?
Among universities, judged by research, Shandong University, Princeton University and Zhejiang University of Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Stochastic processes and financial applications, country by countryIs Stochastic processes and financial applications research growing?
Output in 2022-2025 was 4% higher than in 2018-2021, peaking in 2013. The fastest-growing topics are Stochastic processes and financial applications.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Stochastic processes and financial applications as a percentage of every work published that year, 0.024% in 2024.
Fractional works of Stochastic processes and financial applications over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
Ask a question or share a note about Stochastic processes and financial applications. Posts are plain text and can be reported.