The central question addressed in this note is whether it is better to sell (and re-purchase) appreciated assets now and pay today's long-term capital gains tax rate, or wait to realize gains in the future and pay a likely higher capital gains tax rate. The authors argue that a framework based...

We examine in this paper the training and test set performance of several equity factor models with a dataset of 20 years of data, 1,200 stocks and 100 factors. First, we examine several models to forecast expected returns, which can be used as baselines for more complex models: linear...

A generative model is a statistical model of the joint probability distribution. We built a generative model for univariate time series in finance using a Variational Autoencoder (VAE) neural network architecture. We test the model in SP500 and the Heston Model widely used for option pricing and...

We use a reinforcement model to compute the hedging policy for Credit Valuation Adjustment ( CVA ) problems. Reinforcement learning can be used to solve financial applications ofintertemporal choice. In finance, common problems of this kind include pricing and hedging ofcontingent claims,...

The paper tends to analyses the major characteristics of the leasing industry in Sweden with special emphasis on the the inter-segmental aspect of the industry. There has also been an attempt to underline the working of industry as per the Swedish codes governing the same and to establish the...

Traditional portfolio optimization models specify placement of capital as rather irrevocably and fully at risk through investment horizon(s) or continuously. Under this constraint, asset class allocation typically serves as primary mode of diversification, pursuing risk moderation by seeking to...

We present a detailed study of the performance of a trading rule that uses moving average of past returns to predict future returns on stock indexes. Our main goal is to link performance and the stochastic process of the traded asset. Our study reports short, medium and long term effects by...

In finance, decision making and choice requires that we assume that asset prices tend to trend. This assumption also logically enables us to construct exits to limit losses and protect capital. But investors have good reason to be uneasy regarding the potential for significant loss when using a...

Mr. Thomas Krawinkel's paper raises the issue of how limits on buying power in executing trades can have a significant impact on the active trader's system results or expectations. It sheds light on the fact that parallel trades consume buying power up to the point where any further trade must...

The goal of this paper is to assist the trader in answering two questions: 1) "What is a reasonable performance estimate of the long-run edge of the trading system?" and, 2) "What worst-case contingencies must be tolerated in short-run performance in order to achieve the long-run expectation?"...