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Results for “BEI” · papers 4 · wiki 3
Academic Papers · 4arXiv q-fin live 3 · desk corpus 1
arXiv · arXiv q-fin · 2022

Analysis of a five-factor capital market model

In this paper we analyse the five-factor capital market model of Munk et al.(2004). The model features a Vasicek interest rate model, an equity index with mean-reverting excess return and an index for realized inflation with mean-reverting expectation. The primary aim of the analysis is to facilitate so-called exact simulation from the model on a set of discrete time points. It turns out that this can be achieved by

Søren Fiig Jarner, Michael Preisel
arXiv · arXiv q-fin · 2019

Sutte Indicator: an approach to predict the direction of stock market movements

The purpose of this research is to apply technical analysis of Sutte Indicator in stock trading which will assist in the investment decision making process i.e. buying or selling shares. This research takes data of "A" on the Indonesia Stock Exchange(IDX or BEI) 29 November 2006 until 20 September 2016 period. To see the performance of Sutte Indicator, other technical analysis are used as a comparison, Simple Moving

Ansari Saleh Ahmar
arXiv · arXiv · 2026

Quantifying Sub-Optimality in Routing for Automated Market Makers

We provide a large-scale empirical audit of DEX routing using 2.98 million WETH-USDC swaps on Ethereum. Comparing realized routes with optimized benchmarks, we measure an average shortfall of 2.02 bps per trade or \$24 million. To attribute losses, we introduce three reproducible optimal benchmarks: a Support-Constrained Optimum (SCO) that evaluates split quality conditional on the pools actually used; a Full-Venue O

Weiye Xi, Ciamac C. Moallemi
arXiv · arXiv q-fin · 2020

Kernel Estimation of Spot Volatility with Microstructure Noise Using Pre-Averaging

We first revisit the problem of estimating the spot volatility of an Itô semimartingale using a kernel estimator. We prove a Central Limit Theorem with optimal convergence rate for a general two-sided kernel. Next, we introduce a new pre-averaging/kernel estimator for spot volatility to handle the microstructure noise of ultra high-frequency observations. We prove a Central Limit Theorem for the estimation error with

José E. Figueroa-López, Bei Wu
Wiki Entities · 3
Option Blackboard · 0
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Encyclopedia · 2
Cards · 0
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