We study the monodromy of a certain class of semistable hyperelliptic curves over the rationals that was introduced by Shigefumi Mori forty years ago (before his Minimal Model Program). Using ideas of Chris Hall, we prove that the corresponding $\ell$-adic monodromy groups are (almost) ``as large as possible". We also discuss an explicit construction of two-dimensional families of hyperelliptic curves over an arbitrary global field with big monodromy.
The importance of price impact in HFT is outlined via well known phenomena of micro-price. We look at price impact as macro phenomena and for its explanation turn to micro phenomena, specifically to order book dynamics modeled via multi-dimensional Hawkes processes. We then show that on the level of first-moment simplification of the model that this type of order book implies well known phenomena of price impact observed by Almgren and more precise one proposed by Gatheral.
We use stationary processes and ergodic theory to study high frequency trading and technical analysis. Our discussion is based on data from Chinese markets.
We study the monodromy of a certain class of semistable hyperelliptic curves over the rationals that was introduced by Shigefumi Mori forty years ago (before his Minimal Model Program). Using ideas of Chris Hall, we prove that the corresponding $\ell$-adic monodromy groups are (almost) ``as large as possible". We also discuss an explicit construction of two-dimensional families of hyperelliptic curves over an arbitrary global field with big monodromy.
Abstract: We discuss some homogenization problems of Hamilton-Jacobi equations in time-dependent (dynamic) random environments, where the coefficients of PDEs are highly oscillatory in the space and time variables. We consider both first order and second order equations, and
emphasize how to overcome the difficulty imposed by the lack of coercivity in the time derivative. In the first order case with linear growing Hamiltonian, periodicity in either the space or the time variable is assumed; in the second order case with at most quadratic growing Hamiltonian, uniform ellipticity of the second order term is assumed.
Imagine that every vertex of a graph contains a sleeping frog. At time 0, the frog at some designated vertex wakes up and begins a simple random walk. When it lands on a vertex, the sleeping frog there wakes up and begins its own simple random walk, which in turn wakes up any sleeping frogs it lands on, and so on. This process is called the frog model.