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Results for “CPI” · papers 15 · wiki 5
Academic Papers · 15arXiv q-fin live 15 · desk corpus 3
arXiv · arXiv q-fin · 2024

Using CPI in Loss Given Default Forecasting Models for Commercial Real Estate Portfolio

Forecasting the loss given default (LGD) for defaulted Commercial Real Estate (CRE) loans poses a significant challenge due to the extended resolution and workout time associated with such defaults, particularly in CCAR and CECL framework where the utilization of post-default information, including macroeconomic variables (MEVs) such as unemployment (UER) and various rates, is restricted. The current environment of p

Ying Wu, Garvit Arora, Xuan Mei
arXiv · arXiv q-fin · 2025

Heterogeneous Trader Responses to Macroeconomic Surprises: Simulating Order Flow Dynamics

Understanding how market participants react to shocks like scheduled macroeconomic news is crucial for both traders and policymakers. We develop a calibrated data generation process DGP that embeds four stylized trader archetypes retail, pension, institutional, and hedge funds into an extended CAPM augmented by CPI surprises. Each agents order size choice is driven by a softmax discrete choice rule over small, medium

Haochuan Wang
arXiv · arXiv q-fin · 2025

The impact of economic policies on housing prices. Approximations and predictions in the UK, the US, France, and Switzerland from the 1980s to today

I show that house prices can be modeled using machine learning (kNN and tree-bagging) and a small dataset composed of macro-economic factors (MEF), including an inflation metric (CPI), US treasury rates (10-yr), Gross Domestic Product (GDP), and portfolio size of central banks (ECB, FED). This set of parameters covers all the parties involved in a transaction (buyer, seller, and financing facility) while ignoring the

Nicolas Houlié
arXiv · arXiv q-fin · 2026

Do Prediction Markets Forecast Cryptocurrency Volatility? Evidence from Kalshi Macro Contracts

Daily probability changes in Kalshi macro prediction markets forecast cryptocurrency realized volatility through two distinct channels. The monetary policy channel, measured by Fed rate repricing on KXFED contracts, predicts Bitcoin volatility in sample with t = 3.63 and p < 0.001 but exhibits regime dependence tied to the 2024-2025 rate-cutting cycle. The recession risk signal from KXRECSSNBER proves more stable out

Hardhik Mohanty, Bhaskar Krishnamachari
arXiv · arXiv q-fin · 2026

Non-Spanning Identification of Scheduled Event Risk in Option Pricing

Short-dated index options make scheduled macro-announcement risk visible in market prices, but visibility does not imply identification: a flexible no-event surface fitted to event-spanning quotes can absorb event premia, while a jump calibrated without event-spanning quotes is unidentified. To separate the continuous surface from the scheduled jump, we model Federal Open Market Committee (FOMC) decisions, Consumer P

Tenghan Zhong
arXiv · arXiv q-fin · 2022

Economic state classification and portfolio optimisation with application to stagflationary environments

Motivated by the current fears of a potentially stagflationary global economic environment, this paper uses new and recently introduced mathematical techniques to study multivariate time series pertaining to country inflation (CPI), economic growth (GDP) and equity index behaviours. We begin by assessing the temporal evolution among various economic phenomena, and complement this analysis with `economic driver analys

Nick James, Max Menzies, Kevin Chin
arXiv · arXiv q-fin · 2021

On the systemic nature of global inflation, its association with equity markets and financial portfolio implications

This paper uses new and recently introduced mathematical techniques to undertake a data-driven study on the systemic nature of global inflation. We start by investigating country CPI inflation over the past 70 years. There, we highlight the systemic nature of global inflation with a judicious application of eigenvalue analysis and determine which countries exhibit most "centrality" with an inner-product based optimiz

Nick James, Kevin Chin
arXiv · arXiv q-fin · 2021

Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques

Market indicators such as CPI and GDP have been widely used over decades to identify the stage of business cycles and also investment attractiveness of sectors given market conditions. In this paper, we propose a two-stage methodology that consists of predicting ETF prices for each sector using market indicators and ranking sectors based on their predicted rate of returns. We initially start with choosing sector spec

Tugce Karatas, Ali Hirsa
arXiv · arXiv q-fin · 2015

Multifractal characterization of gold market: a multifractal detrended fluctuation analysis

The multifractal detrended fluctuation analysis technique is employed to analyze the time series of gold consumer price index (CPI) and the market trend of three world's highest gold consuming countries, namely China, India and Turkey for the period: 1993-July 2013. Various multifractal variables, such as the generalized Hurst exponent, the multifractal exponent and the singularity spectrum, are calculated and the re

Provash Mali, Amitabha Mukhopadhyay
arXiv · arXiv q-fin · 2013

Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. Many stock prediction studies focus on using macroeconomic indicators, such as CPI and GDP, to train the prediction model. However, daily data of the macroeconomic indicators are almost impossible to obtain. Thus, those methods ar

Yanshan Wang
arXiv · arXiv q-fin · 2013

An examination of the effect on the Icelandic Banking System of Verðtryggð Lán (Indexed-Linked Loans)

In 1979 following a decade of hyperinflation, Iceland introduced Verðtryggð lán, negatively amortised, index-linked loans whose outstanding principal is increased by the rate of the consumer price inflation index(CPI). The loans were part of a general government policy which used indexation to the CPI to address the economic consequences of the hyperinflation. Although most other forms of indexation were subsequently

Jacky Mallett
arXiv · arXiv q-fin · 2013

Does Banque de France control inflation and unemployment?

We re-estimate statistical properties and predictive power of a set of Phillips curves, which are expressed as linear and lagged relationships between the rates of inflation, unemployment, and change in labour force. For France, several relationships were estimated eight years ago. The change rate of labour force was used as a driving force of inflation and unemployment within the Phillips curve framework. The set of

Ivan Kitov, Oleg Kitov
arXiv · arXiv q-fin · 2012

ConocoPhillips' share price model revisited

Three years ago we found a statistically reliable link between ConocoPhillips' (NYSE: COP) stock price and the difference between the core and headline CPI in the United States. In this article, the original relationship is revisited with new data available since 2009. The agreement between the observed monthly closing price (adjusted for dividends and splits) and that predicted from the CPI difference is confirmed.

Ivan Kitov
arXiv · arXiv q-fin · 2008

Relationship between inflation, unemployment and labor force change rate in France: cointegration test

A linear and lagged relationship between inflation, unemployment and labor force change rate, p(t)=A0UE(t-t0)+A1dLF(t-t1)/LF(t-t1)+ A2, where A0, A1, and A2 are empirical country-specific coefficients, was found for developed economies. The relationship obtained for France is characterized by A0=-1, A1=4, A2=0.095, t0=4 years, and t1=4 years. For GDP deflator, it provides a RMS forecasting error (RMFSE) of 1.0% at a

Ivan O. Kitov, Oleg I. Kitov, Svetlana A. Dolinskaya
arXiv · arXiv q-fin · 2007

Influence of corruption on economic growth rate and foreign investments

In order to investigate whether government regulations against corruption can affect the economic growth of a country, we analyze the dependence between Gross Domestic Product (GDP) per capita growth rates and changes in the Corruption Perceptions Index (CPI). For the period 1999-2004 on average for all countries in the world, we find that an increase of CPI by one unit leads to an increase of the annual GDP per capi

Boris Podobnik, Jia Shao, Djuro Njavro, Plamen Ch. Ivanov, H. Eugene Stanley
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