M. Peat

发表

Neural Networks in the Capital Markets

M. Peat, 1996 .

Bitcoin Futures - What Use are They?

M. Peat, S. Corbet, B. Lucey, 2018, Economics Letters.

Cost-of-Capital Estimation and Capital-Budgeting Practice in Australia

Maurice Peat, Graham Partington, M. Peat, 2008 .

Factors Affecting the Probability of Bankruptcy: A Managerial Decision Based Approach

Maurice Peat, M. Peat, 2007 .

Testing for Evidence of Nonlinear Structure in Australian Real Estate Market Returns

M. Peat, Maxwell Stevenson, Graham Newell, 1996 .

Measures of the economic value of probabilities of bankruptcy

M. Peat, V. R. Jose, D. Johnstone, 2013 .

The Information Content of Ratings: An Analysis of Australian CDS Spreads

M. Peat, Jiri Svec, Jue Wang, 2011 .

Why Don't Stress Tests Break Banks?

M. Peat, K. Durrani, Charles Littrell, 2016 .

Big data in finance

Maurice Peat, M. Peat, 2013 .

Does Technical Analysis Beat the Market? – Evidence from High Frequency Trading in Gold and Silver

M. Peat, B. Lucey, J. Batten, 2015 .

Using Neural Nets to Combine Information Sets in Corporate bankruptcy Prediction

Stewart Jones, Maurice Peat, M. Peat, 2012, Intell. Syst. Account. Finance Manag..

Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction: Credit derivatives: Current practices and controversies

M. Peat, Stewart Jones, 2008 .

The impact of residential property investment on portfolio performance

M. Peat, Danika Wright, 2012 .

The Information Content of Ratings: An Analysis of Australian Credit Default Swap Spreads

M. Peat, Jiri Svec, Jue Wang, 2014 .

Stylized Facts of Intraday Precious Metal Returns

M. Peat, B. Lucey, J. Batten, 2016 .

Characteristic Liquidity, Systematic Liquidity and Expected Returns

M. Peat, Reza Bradrania, 2013 .

Factors Affecting the Probability of Bankruptcy

M. Peat, 2003 .

Bankruptcy Probability: A Theoretical and Empirical Examination

M. Peat, 2001 .

A Case Study in Using ADAGE for Compute-Intensive Financial Analysis Processes

Fethi A. Rabhi, Lawrence Yao, Maurice Peat, 2012, FinanceCom.

Complexity in financial asset returns: Evidence from the compass rose.

M. Peat, B. Lucey, J. Batten, 2018, Chaos.

Deteriorating Complexity in Gold Returns: Evidence from the Compass Rose

Maurice Peat, Jonathan A. Batten, Brian M. Lucey, 2017 .

Cost of Capital Estimation and Capital Budgeting Practice in Australia

Maurice Peat, Graham Partington, M. Peat, 2008 .

Liquidity and Expected Returns – Evidence from 1926-2008

M. Peat, Reza Bradrania, 2013 .

Detecting and modelling nonlinearity in flexible exchange rate time series

Carl Chiarella, Maurice Peat, M. Peat, 1994 .

Testing for Nonlinearities in Economic and Financial Time Series

M. Peat, Maxwell J Stevenson, 1995 .

Supporting Data-Intensive Analysis Processes: A Review of Enabling Technologies and Trends

Fethi A. Rabhi, Lawrence Yao, Maurice Peat, 2014 .

Forecasting Australian Unemployment Rates

M. Peat, Maxwell J Stevenson, 2000 .

Testing for Evidence of Nonlinear Structure in Daily and Weekly United Kingdom Stock and Property Market Indicies

M. Peat, Graham Newell, Maxwell J Stevenson, 1997 .

The Impact of Auctions on Residential Property Prices

M. Peat, A. Frino, Danika Wright, 2012 .

Does the Process of Spatial Aggregation of U.K. Unemplyment Rate Series Serve to Induce or Remove Evidence of Asymmetry in the Business Cycle

M. Peat, D. Jones, Maxwell J Stevenson, 1996 .

Asymmetry in the business cycle: Evidence from the Australian labour market

M. Peat, Maxwell J Stevenson, 1996 .

Uncovering Long Term Relationships between Oil Prices and the Economy: A Time-Varying Cointegration Analysis

M. Peat, B. Lucey, S. Vigne, 2018, Energy Economics.

A Structural Approach to Estimate Market-Assessed Sovereign Credit Risk

M. Peat, Jiri Svec, Jue Wang, 2012 .

The destabilising effects of cryptocurrency cybercriminality

M. Peat, S. Corbet, B. Lucey, 2020, Economics Letters.

Reporting bias in incomplete information model

M. Peat, Jiri Svec, Jue Wang, 2014 .

What is the optimal weight for gold in a portfolio?

M. Peat, B. Lucey, S. Vigne, 2018, Annals of Operations Research.

Predicting Australian Takeover Targets : A Logit Analysis

M. Peat, Maxwell J Stevenson, 2010 .

Predicting Corporate Bankruptcy Risk in Australia: A Latent Class Analysis

M. Peat, Stewart Jones, 2014 .

Gold and Silver Manipulation: What Can Be Empirically Verified?

M. Peat, B. Lucey, J. Batten, 2016 .

Investigating the Dynamics Between Price Volatility, Price Discovery, and Criminality in Cryptocurrency Markets

M. Peat, S. Corbet, B. Lucey, 2019, SSRN Electronic Journal.

Modelling Eurozone ’ s Credit Default Swaps

M. Peat, Jiri Svec, Jue Wang, 2012 .

Stylized facts of intraday precious metals

M. Peat, B. Lucey, J. Batten, 2017, PloS one.

Does intraday technical trading have predictive power in precious metal markets

M. Peat, B. Lucey, J. Batten, 2018 .

Liquidity costs, idiosyncratic volatility and expected stock returns

M. Peat, S. Satchell, M. R. Bradrania, 2015, 2211.04695.

Detecting Changing Financial Relationships: A Self Organising Map Approach

Stewart Jones, Maurice Peat, M. Peat, 2014, FinanceCom.

A Proposed Framework for Evaluating the Effectiveness of Financial News Sentiment Scoring Datasets

Fethi A. Rabhi, Maurice Peat, Islam Qudah, 2014, FinanceCom.

Seasonality in Australian Residential Real Estate Prices

M. Peat, A. Frino, Danika Wright, 2009 .

The Role of Intra-Day and Inter-Day Data Effects in Determining Linear and Nonlinear Granger Causality Between Australian Futures and Cash Index Markets

M. Peat, R. Eldridge, Maxwell J Stevenson, 2003 .

First-Sale Bias and Age Effects: Do 'New' Properties Sell at a Premium?

M. Peat, A. Frino, Danika Wright, 2008 .

A Comparison of the Information Content of Accounting and Market Measures in Distress Prediction.

M. Peat, S. Martin, 2009 .

Forecasting the Government Bond Term Structure in Australia

M. Peat, Jiri Svec, Rui Chen, 2016 .

Systematic Risk, CDS Spread and Market Integration: An Empirical Investigation

M. Peat, Jiri Svec, 2010 .