Working Paper |
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12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Continuous-Time Measurement of the Buy-Sell Pressure in a Limit Order Book Market |
0 |
0 |
2 |
282 |
0 |
3 |
7 |
1,020 |
A Continuous-Time Measurement of the Buy-Sell Pressure in a Limit Order Book Market |
0 |
0 |
1 |
185 |
1 |
1 |
4 |
706 |
A Continuous-Time Measurement of the Buy-Sell Pressure in a Limit Order Book Market |
0 |
0 |
0 |
426 |
0 |
0 |
2 |
1,181 |
A Dynamic Semiparametric Proportional Hazard Model |
0 |
0 |
0 |
107 |
0 |
0 |
0 |
387 |
A blocking and regularization approach to high dimensional realized covariance estimation |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
123 |
A blocking and regularization approach to high dimensional realized covariance estimation |
0 |
0 |
0 |
92 |
0 |
0 |
1 |
243 |
A mean variance king? Creation and resolution of uncertainty under the employment report's reign |
0 |
0 |
0 |
12 |
0 |
0 |
1 |
372 |
Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields |
0 |
0 |
1 |
169 |
1 |
2 |
3 |
434 |
Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions |
0 |
0 |
0 |
127 |
0 |
0 |
1 |
1,001 |
Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions |
0 |
0 |
0 |
189 |
0 |
0 |
0 |
1,070 |
Bayesian Learning in Financial Markets – Testing for the Relevance of Information Precision in Price Discovery |
0 |
0 |
0 |
87 |
0 |
1 |
1 |
313 |
Bayesian Learning in Financial Markets: Testing for the Relevance of Information Precision in Price Discovery |
0 |
0 |
0 |
178 |
0 |
0 |
0 |
622 |
Bayesian Stochastic Search for the Best Predictors: Nowcasting GDP Growth |
0 |
0 |
0 |
66 |
0 |
0 |
0 |
120 |
Bayesian inference in a stochastic volatility Nelson-Siegel Model |
0 |
0 |
0 |
114 |
1 |
1 |
4 |
247 |
Bayesian learning in financial markets: Testing for the relevance of information precision in price discovery |
0 |
0 |
0 |
10 |
0 |
1 |
2 |
78 |
Building Trust Takes Time: Limits to Arbitrage for Blockchain-Based Assets |
0 |
0 |
5 |
28 |
2 |
2 |
10 |
102 |
Capturing common components in high-frequency financial time series: A multivariate stochastic multiplicative error model |
0 |
0 |
0 |
202 |
0 |
0 |
0 |
496 |
Capturing common components in high-frequency financial time series: A multivariate stochastic multiplicative error model |
0 |
0 |
0 |
114 |
0 |
0 |
0 |
335 |
Capturing the zero: A new class of zero-augmented distributions and multiplicative error processes |
0 |
0 |
0 |
8 |
1 |
2 |
14 |
109 |
Capturing the zero: A new class of zero-augmented distributions and multiplicative error processes |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
80 |
Capturing the zero: A new class of zero-augmented distributions and multiplicative error processes |
0 |
0 |
0 |
39 |
1 |
2 |
2 |
168 |
Consistent Estimation of the High-Dimensional Efficient Frontier |
0 |
0 |
6 |
6 |
1 |
2 |
6 |
6 |
Copula-based dynamic conditional correlation multiplicative error processes |
0 |
0 |
0 |
52 |
1 |
1 |
1 |
165 |
Copula-based dynamic conditional correlation multiplicative error processes |
0 |
0 |
0 |
40 |
0 |
1 |
1 |
89 |
Counterparty Credit Limits: The Impact of a Risk-Mitigation Measure on Everyday Trading |
0 |
0 |
0 |
24 |
0 |
1 |
1 |
51 |
Counterparty credit limits: An effective tool for mitigating counterparty risk? |
0 |
0 |
1 |
17 |
4 |
4 |
6 |
95 |
Determinants of Inter-Trade Durations Using Proportional Hazard ARMA Models |
0 |
0 |
0 |
69 |
0 |
0 |
0 |
143 |
Determinants of Inter-Trade Durations and Hazard Rates Using Proportional Hazard ARMA Model |
0 |
0 |
0 |
133 |
0 |
1 |
2 |
665 |
Discrete-time stochastic volatility models and MCMC-based statistical inference |
0 |
0 |
1 |
233 |
0 |
0 |
3 |
421 |
Do high-frequency data improve high-dimensional portfolio allocations? |
0 |
0 |
2 |
85 |
0 |
0 |
3 |
255 |
Dynamic latent factor models for intensity processes |
0 |
0 |
0 |
114 |
0 |
0 |
0 |
326 |
Econometric Analysis of Financial Transaction Data: Pitfalls and Opportunities |
0 |
0 |
0 |
625 |
0 |
1 |
6 |
2,081 |
Efficient iterative maximum likelihood estimation of high-parameterized time series models |
0 |
0 |
0 |
36 |
0 |
1 |
2 |
66 |
Efficient iterative maximum likelihood estimation of high-parameterized time series models |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
78 |
Estimating the Neighborhood Influence on Decision Makers: Theory and an Application on the Analysis of Innovation Decisions |
0 |
0 |
0 |
78 |
1 |
1 |
1 |
489 |
Estimating the Spot Covariation of Asset Prices – Statistical Theory and Empirical Evidence |
0 |
0 |
0 |
25 |
0 |
1 |
2 |
26 |
Estimating the quadratic covariation matrix from noisy observations: Local method of moments and efficiency |
0 |
0 |
1 |
38 |
1 |
1 |
2 |
88 |
Estimating the spot covariation of asset prices: Statistical theory and empirical evidence |
0 |
0 |
0 |
11 |
0 |
1 |
1 |
51 |
Estimating the spot covariation of asset prices: Statistical theory and empirical evidence |
0 |
0 |
0 |
45 |
1 |
3 |
3 |
50 |
Financial network systemic risk contributions |
0 |
0 |
1 |
62 |
0 |
0 |
3 |
255 |
Financial network systemic risk contributions |
0 |
0 |
1 |
91 |
0 |
2 |
3 |
271 |
Financial network systemic risk contributions |
0 |
0 |
2 |
157 |
0 |
1 |
6 |
363 |
Forecasting systemic impact in financial networks |
0 |
0 |
0 |
133 |
0 |
0 |
0 |
217 |
HARNet: A Convolutional Neural Network for Realized Volatility Forecasting |
0 |
0 |
1 |
20 |
1 |
2 |
4 |
26 |
HARNet: A convolutional neural network for realized volatility forecasting |
0 |
0 |
1 |
37 |
0 |
1 |
7 |
33 |
How effective are trading pauses? |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
88 |
Jump detection in high-frequency order prices |
0 |
0 |
16 |
16 |
0 |
1 |
13 |
13 |
Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty |
0 |
0 |
0 |
15 |
0 |
1 |
4 |
43 |
Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty: Adaptive Mixing of High- and Low-Frequency Information |
0 |
0 |
0 |
29 |
2 |
2 |
2 |
33 |
Large-scale portfolio allocation under transaction costs and model uncertainty |
0 |
0 |
0 |
25 |
0 |
1 |
2 |
36 |
Limit order flow, market impact and optimal order sizes: Evidence from NASDAQ TotalView-ITCH data |
0 |
0 |
1 |
103 |
0 |
0 |
1 |
311 |
Limits to arbitrage in markets with stochastic settlement latency |
0 |
0 |
1 |
16 |
4 |
6 |
10 |
53 |
Local adaptive multiplicative error models for high-frequency forecasts |
0 |
0 |
0 |
66 |
0 |
0 |
0 |
162 |
Measuring and modeling risk using high-frequency data |
0 |
0 |
0 |
142 |
0 |
0 |
0 |
254 |
Modeling time-varying dependencies between positive-valued high-frequency time series |
0 |
0 |
1 |
76 |
0 |
0 |
1 |
75 |
Modelling Financial High Frequency Data Using Point Processes |
0 |
0 |
0 |
253 |
2 |
3 |
5 |
674 |
Modelling Intraday Trading Activity Using Box-Cox-ACD Models |
0 |
0 |
0 |
306 |
1 |
1 |
4 |
959 |
Modelling and forecasting liquidity supply using semiparametric factor dynamics |
0 |
0 |
0 |
59 |
0 |
0 |
0 |
166 |
Modelling and forecasting liquidity supply using semiparametric factor dynamics |
0 |
0 |
0 |
90 |
0 |
0 |
0 |
278 |
Modelling financial high frequency data using point processes |
0 |
0 |
0 |
101 |
0 |
1 |
3 |
308 |
Modelling financial high frequency data using point processes |
0 |
0 |
0 |
95 |
0 |
0 |
3 |
348 |
Modelling financial high frequency data using point processes |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
44 |
Modelling high-frequency volatility and liquidity using multiplicative error models |
0 |
0 |
0 |
103 |
0 |
0 |
1 |
240 |
Multivariate dynamic intensity peaks-over-threshold models |
1 |
1 |
1 |
30 |
2 |
2 |
3 |
52 |
Non-Standard Errors |
0 |
0 |
1 |
42 |
6 |
12 |
56 |
432 |
Non-Standard Errors |
0 |
1 |
4 |
27 |
4 |
16 |
81 |
143 |
Nonstandard errors |
0 |
1 |
11 |
11 |
4 |
11 |
43 |
43 |
On the dark side of the market: Identifying and analyzing hidden order placements |
0 |
0 |
1 |
103 |
3 |
4 |
16 |
374 |
On the dark side of the market: Identifying and analyzing hidden order placements |
0 |
0 |
1 |
103 |
2 |
7 |
21 |
257 |
Order Aggressiveness and Order Book Dynamics |
0 |
0 |
1 |
675 |
1 |
2 |
8 |
1,709 |
Order Exposure and Liquidity Coordination: Does Hidden Liquidity Harm Price Efficiency? |
0 |
1 |
1 |
23 |
0 |
1 |
2 |
41 |
Order exposure and liquidity coordination: Does hidden liquidity harm price efficiency? |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
61 |
Pre-Averaging Based Estimation of Quadratic Variation in the Presence of Noise and Jumps: Theory, Implementation, and Empirical Evidence |
0 |
0 |
1 |
85 |
0 |
0 |
1 |
231 |
Pre-averaging based estimation of quadratic variation in the presence of noise and jumps: Theory, implementation, and empirical evidence |
0 |
0 |
0 |
17 |
0 |
1 |
2 |
69 |
Pre-averaging based estimation of quadratic variation in the presence of noise and jumps: Theory, implementation, and empirical evidence |
0 |
0 |
0 |
48 |
0 |
1 |
2 |
136 |
Predicting bid-ask spreads using long memory autoregressive conditional poisson models |
0 |
0 |
0 |
115 |
0 |
1 |
2 |
174 |
Price Adjustment to News with Uncertain Precision |
0 |
0 |
0 |
27 |
0 |
1 |
1 |
122 |
Price adjustment to news with uncertain precision |
0 |
0 |
0 |
2 |
0 |
1 |
1 |
39 |
Price adjustment to news with uncertain precision |
0 |
0 |
0 |
39 |
1 |
2 |
2 |
135 |
Price adjustment to news with uncertain precision |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
85 |
Price adjustment to news with uncertain precision |
0 |
0 |
0 |
21 |
1 |
1 |
3 |
156 |
Quantifying high-frequency market reactions to real-time news sentiment announcements |
0 |
0 |
0 |
106 |
0 |
0 |
0 |
159 |
Quantifying high-frequency market reactions to real-time news sentiment announcements |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
72 |
Revisiting the stealth trading hypothesis: Does time-varying liquidity explain the size-effect? |
0 |
0 |
0 |
13 |
0 |
1 |
3 |
45 |
Semiparametric autoregressive conditional proportional hazard models |
1 |
1 |
1 |
210 |
1 |
1 |
1 |
724 |
Shirking or mismatch? Coach-team separation in German professional soccer |
0 |
0 |
1 |
20 |
0 |
2 |
4 |
93 |
Stochastic conditional intensity processes |
0 |
0 |
0 |
6 |
1 |
2 |
3 |
35 |
Systemic risk spillovers in the European banking and sovereign network |
0 |
0 |
0 |
83 |
1 |
1 |
1 |
163 |
Systemic risk spillovers in the European banking and sovereign network |
0 |
0 |
0 |
60 |
0 |
0 |
0 |
115 |
Testing multiplicative error models using conditional moment tests |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
68 |
Testing the Conditional Mean Function of Autoregressive Conditional Duration Models |
0 |
0 |
1 |
114 |
0 |
1 |
2 |
519 |
The ambivalent role of high-frequency trading in turbulent market periods |
0 |
0 |
0 |
31 |
1 |
1 |
6 |
98 |
The impact of macroeconomic news on quote adjustments, noise and informational volatility |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
44 |
The impact of macroeconomic news on quote adjustments, noise and informational volatility |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
28 |
The impact of macroeconomic news on quote adjustments, noise, and informational volatility |
0 |
0 |
0 |
41 |
0 |
0 |
0 |
166 |
The impact of macroeconomic news on quote adjustments, noise, and informational volatility |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
65 |
The impact of macroeconomic news on quote adjustments, noise, and informational volatility |
0 |
0 |
0 |
45 |
1 |
1 |
2 |
165 |
The latent factor VAR model: Testing for a common component in the intraday trading process |
0 |
0 |
0 |
195 |
0 |
1 |
1 |
570 |
The market impact of a limit order |
0 |
0 |
1 |
869 |
0 |
1 |
8 |
388 |
The market impact of a limit order |
1 |
1 |
2 |
14 |
1 |
2 |
8 |
77 |
The merit of high-frequency data in portfolio allocation |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
110 |
The merit of high-frequency data in portfolio allocation |
0 |
0 |
1 |
21 |
1 |
1 |
3 |
85 |
The processing of non-anticipated information in financial markets: Analyzing the impact of surprises in the employment report |
0 |
0 |
0 |
49 |
0 |
1 |
2 |
209 |
Volatility Estimation on the Basis of Price Intensities |
0 |
0 |
0 |
262 |
0 |
0 |
1 |
1,038 |
Volatility, information feedback and market microstructure noise: A tale of two regimes |
0 |
0 |
1 |
65 |
1 |
1 |
10 |
112 |
Yield curve factors, term structure volatility, and bond risk premia |
0 |
0 |
0 |
261 |
1 |
3 |
6 |
704 |
Total Working Papers |
3 |
6 |
75 |
10,042 |
60 |
140 |
480 |
29,713 |