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Fortunately, while previous studies have shown that renewables make power grids more fragile, recent research shows the opposite, as grids with higher levels of renewable energy are actually more resilient. A comprehensive study analyzing over 2,000 blackout events across the U.S. <|MaskedSetence|> <|MaskedSetence|>... | **A**: Even during extreme weather, these grids performed better, likely because renewables are often paired with modern grid planning and interconnected systems [5].
**B**: from 2001 to 2020 found that increased renewable energy penetration correlated with fewer and shorter outages.
**C**: As renewables became a lar... | ACB | BAC | BAC | BAC | Selection 2 |
The landmark papers Hoem (1969, 1988) introduced actuaries to multiple-state Markov models. The advance from an alive-dead mortality model to multiple states perhaps obscured the advance in thinking represented by modelling a process. A focus on transition probabilities and intensities (often rendered as pxijt{}_{t}p... | **A**: With N(t)N(t) (in its multivariate version) representing underlying stochastic events, Ramlau-Hansen (1988a, b) carried this through in great generality for Markov models.
**B**: See Norberg (1991) for an example in a multiple-state setting where this is not the case..
**C**: (2022).
Bühlmann (1976) had sug... | CAB | CAB | CAB | CBA | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> Arrangements on interconnection can influence the LCOH as they can determine if and how much an electrolyser is exposed to grid connection costs. Electricity can be supplied under commercial agreements between wind-electrolyser developers (e.g., PPAs or curtailed-energy contracts) ... | **A**: Electricity tariffs provided by energy suppliers typically include system charges, i.e.
**B**: Regarding how the public grid is accessed, projects may not be connected (islanded/off-grid), each asset may have a full and separate grid connection, they might share a firm or non-firm connection, or can adopt a mix... | CBA | CBA | BCA | CBA | Selection 2 |
RFF-SP probabilistic projections based on RFF-SPs (Rennert et al., 2022b). Black lines represent the mean (solid) and median (dotted) along with the 5th to 95th (dark shade) and 1st to 99th (light shade) percentile ranges. Historical data from Benveniste et al. (2020) using UN World Population Prospects 2019 (UN, ). <... | **A**: (2020) and CIL (CIL).
.
**B**: SSPs beyond 2100 (dashed) are based on two recent extrapolation methods: Benveniste et al.
**C**: SSP1, SSP2, and SSP3 data through 2100 from Benveniste et al.
| CBA | CBA | CBA | CAB | Selection 2 |
In addition to advancing risk metrics, researchers have highlighted the importance of asset management for optimal portfolio outcomes in uncertain markets. Among the constraints imposed in the classical mean-variance optimization model, cardinality constraints—which limit the asset count in the portfolio—are vital [16]... | **A**: To introduce flexibility in the anticipated return, chance-constrained optimization incorporates market uncertainty into the optimization model by dictating the constraint be satisfied with a specified probability instead of absolute certainty [21].
**B**: [20] designed a bilevel cutting-plane algorithm for exa... | CBA | CBA | CBA | BAC | Selection 1 |
<|MaskedSetence|> Iranzo et al., (2008) also use the worker fixed effects to approximate the worker quality (skill) and also estimate production function incorporating worker quality, but they do not model the matching between workers. <|MaskedSetence|> <|MaskedSetence|> These authors do not model the matching betwe... | **A**: Instead they estimate the role of within-firm dispersion of worker quality in output dynamics.
**B**: Other studies use educational attainment level and worker characteristics to approximate human capital, see for example Liu et al., (2010) and Fox and Smeets, (2011).
**C**:
Previous studies have found that w... | BAC | CAB | CAB | CAB | Selection 4 |
<|MaskedSetence|> Such cases reflect situations where the resulting set of pairwise trend relations contains a contradictory subset – for example, when a variable is both increasing and decreasing during the same time period. <|MaskedSetence|> These inconsistencies should be removed, and various removal algorithms ex... | **A**:
Unfortunately, the collection of pairwise trend relations Pk(Xi,Xj)P_{k}(X_{i},X_{j}), k=1,2,…,wk=1,2,\dots,w (2), derived from the correlation matrix (7) using supporting and reducing effects, often leads to meaningless solutions of the trend model – for instance, a scenario set containing only the steady sta... | ACB | ABC | ABC | ABC | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> In contrast, TE is an asymmetric measure rooted in information theory that captures both linear and nonlinear dependencies while explicitly distinguishing the source and target of information transfer [71, 72, 73, 74, 75].
This directional property is particularly valuable in fin... | **A**: The lower TE in the reverse direction implies limited feedback from price movements to valuation within such short horizons.
.
**B**: To further investigate the dynamic relationship between valuation and market behavior, we compute the Transfer Entropy (TE) from the P/E ratio to next-day returns.
**C**: While ... | BCA | BCA | CBA | BCA | Selection 2 |
Random termination is a common feature of many financial products. <|MaskedSetence|> <|MaskedSetence|> <|MaskedSetence|> In some cases, the time cap is chosen to be unobservable; see [8].
Time-cap is closely related to cancellable options, which are terminated early when a specific event occurs. In fact, the pric... | **A**: The latter case, which leads to the so-called Canadian approximation, has been analyzed in detail in [1].
**B**: For example, the random termination moment could correspond to the default time of a company (see, e.g., [2, p.
**C**: 27] or [32]) or an asset-price-independent time cap following an exponential or... | BAC | BCA | BCA | BCA | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> <|MaskedSetence|> Kloeden and Platen (1992) provide numerical schemes for SDEs, and neural SDEs treat sample paths as generative outputs trained via adversarial objectives or maximum likelihood. However, typical neural SDE implementations ignore jumps or treat them as exogenous no... | **A**:
2.2 Neural Time–Series Models
Machine learning approaches have recently been applied to time series modelling, enabling flexible nonlinear relationships and latent dynamics.
**B**: Recurrent neural networks and long short–term memory networks capture nonlinearity and temporal dependencies, though they often f... | ABC | CBA | ABC | ABC | Selection 4 |
The obstacles that prevent human firms from growing without bound seem intrinsic to humans but not to AI. <|MaskedSetence|> On the other hand, information can be transmitted and processed near-instantaneously between artificial agents. <|MaskedSetence|> <|MaskedSetence|> A useful taxonomy here is distinguish (i) eco... | **A**: If AI agents can, in fact, coordinate and resolve incentive problems more efficiently than humans, this will have profound consequences for economy-wide industry structure.
**B**: Further, (most) humans have an inherent dislike for work; not so with AI agents whose reward functions can ostensibly be designed to... | CBA | CBA | CBA | BCA | Selection 3 |
Market spillover has important implications for asset management and global portfolio diversification, which has led to an ever-growing literature on global equity market interconnectedness. <|MaskedSetence|> <|MaskedSetence|> The study concluded that global markets are highly interconnected and that volatility spil... | **A**: Wang, Li, and Huang (2022) examined volatility spillovers and their time-varying dynamics among global stock markets with the five largest market capitalizations, including the stock markets of the United States, the United Kingdom, Japan, China, and Hong Kong, and took the S&P 500, SZSE 300, Nikkei 225, Hang Se... | BAC | BCA | BCA | BCA | Selection 3 |
Climate change intensifies these fluctuations by increasing cooling demand during hot afternoons, while renewable integration creates additional variability as solar generation peaks mid-day but drops during evening demand peaks. Electrification of transportation and heating further concentrates demand during specific ... | **A**: Evidence from multiple regions shows that cost pressures already force compromises: in Britain, households reduce heating at the expense of health (Anderson et al., 2012); in the U.S., poor insulation makes basic cooling unaffordable (Best and Sinha, 2021), and in Arizona, low-income households delay air conditi... | CBA | CAB | CAB | CAB | Selection 2 |
Similarity Measure 3: LLM Embeddings of News Headlines We collect press release headlines for each equity from RavenPack, filtering to relevance score 100 (highest relevance), discretionarily removing 20 noisy article types, and applying TF-IDF deduplication by removing later articles from same-day pairs with cosine s... | **A**: Headlines within each week are concatenated to form comprehensive textual representations of weekly corporate activities.
**B**: These concatenated weekly headlines are then processed through OpenAI’s text-embedding-3-large model brown2020languagemodelsfewshotlearners to generate high-dimensional embedding vec... | ABC | ABC | ABC | BCA | Selection 1 |
While the application of parallel computing in this domain is commonly driven by the pursuit of increased computational speed and the capacity to handle ever-larger models – a focus primarily on efficiency – there exists an equally, if not more, critical dimension concerning the impact of execution strategy on the cor... | **A**: Economic and financial interactions, such as simultaneous trading decisions across multiple assets within a defined period, the concurrent assimilation of information by diverse agents, or the coordinated allocation of finite resources under constraints, are conceptually designed as contemporaneous events.
**B*... | ACB | ACB | ACB | BCA | Selection 3 |
For IVS modeling, GAN-based approaches (e.g., volatility-GANs [16] and the arbitrage-minimal GAN of [17]) have demonstrated the feasibility of generating realistic volatility surfaces. <|MaskedSetence|> First, VAEs include an explicit encoder network. <|MaskedSetence|> Second, VAEs operate in a compact lower-dimensio... | **A**: This allows efficient inference of latent variables from observed data and helps in analyzing and interpreting surface structures.
**B**: [20] investigated latent space representations but found that interpretations were dataset-specific and often entangled across dimensions.
**C**: In comparison, VAEs offer s... | CAB | CAB | CAB | ABC | Selection 2 |
Exogenous transaction costs refer to fees that are external to the transaction itself and generally include various taxes and expenses in the real market. <|MaskedSetence|> Under the framework of Markowitz [30], some researchers analyzed the impact on portfolio selection of fixed transaction costs [35], quadratic tr... | **A**: To address this problem, other researchers [11, 7, 8, 10] studied the problem via the utility maximization theory, as Merton’s continuous-time formulation [32] offers a powerful analytical framework, enabling the extension of the one-period mean-variance portfolio model to dynamic scenarios.
**B**: In practice,... | BCA | BCA | BCA | CAB | Selection 2 |
<|MaskedSetence|> As a striking proof of concept, Anthropic recently let a large language model (LLM) manage an office shop, deciding what to stock, when to restock, and how to set prices over the course of a month.333Anthropic: “Project Vend: Can Claude run a small shop? (And why does that matter?)” While this single... | **A**:
Pricing algorithms are no longer experimental curiosities; they are embedded across retail and rental markets because they promise efficiency and convenience for sellers.
**B**: 2020), black-box LLMs (Fish et al.
**C**: 2024, Douglas et al.
| ABC | ABC | ABC | ABC | Selection 2 |
In stress, however, funding costs spike. <|MaskedSetence|> This indicates the value of a credit-sensitive uplift in those rare but critical moments. In 2019, a group of regional banks warned that a “SOFR-only environment” could exacerbate drawdowns under stress, forcing banks to curtail lending or charge higher upfro... | **A**: Jermann [2024] estimates an ex-ante willingness to pay of 16.8 basis points for LIBOR-indexed borrowers to switch to SOFR indexing.
**B**: [2022] argued that if loan rates do not rise when funding access tightens, borrowers have greater incentive to draw heavily on credit lines, implying larger drawdowns in a c... | CBA | CBA | ACB | CBA | Selection 1 |
<|MaskedSetence|> <|MaskedSetence|> For example, suppose an agent holds an American call option on a stock with a strike price of $20. <|MaskedSetence|> If the stock price remains at or below $20, the option will not be exercised, as doing so would yield no gain. However, if the stock price rises above $20, the agen... | **A**: The agent may choose to exercise the option at any point before it expires.
**B**: Continuing our focus on finance, we consider the setting of American option pricing – a fundamental problem in the theory of financial derivatives.
An American call option grants the holder the right, but not the obligation, to... | CAB | CBA | CBA | CBA | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> To assess the performance of our estimators, we discretize both the ground truth outcome distribution Θ(a)\Theta(a) and the estimated Dist-APO Θ^(a)\hat{\Theta}(a), comparing them across 9 quantiles, ranging from 0.1 to 0.9. <|MaskedSetence|> To ensure the robustness of our resu... | **A**: We implement a two-fold cross-fitting technique for training.
**B**: Half of the individuals (25,000) are utilized for training purposes, while the remaining half are used to obtain the Dist-DML estimator and two benchmark Dist-DR and Dist-IPW estimators.
**C**: The Mean Absolute Error (MAE) between these disc... | ABC | ACB | ABC | ABC | Selection 3 |
Satellite models can run with a look-ahead window of arbitrary length to optimize for multi-day scheduling. For a given price, the result of the above optimization is the power dispatch timeseries pj,tp_{j,t} and not the demand or supply bid functions required by the central model. To generate bid functions consisting ... | **A**: When that is done for every bid price, the collection of bids can be submitted (line 9).
Algorithm 1 Bid generation algorithm
.
**B**: The forecast price for time tt is set to the considered bid price (line 5), the prosumer reports their net electric power demand given that forecast (line 6), which is then s... | CBA | BAC | CBA | CBA | Selection 4 |
<|MaskedSetence|> Both models employ early stopping based on validation F1-score to prevent overfitting, while final test performance is evaluated primarily using PR-AUC.
Recent studies report that RF achieved an F1-score of approximately 0.97 on cryptocurrency transaction data [27], while XGBoost reached 0.98 [28].... | **A**: We configured RF to be trained with 300 decision trees without depth constraints in order to capture diverse nonlinear patterns, while XGBoost was set with 300 estimators, a learning rate of 0.05, a maximum depth of 6, a subsample ratio of 0.8, and ℓ2\ell_{2} regularization to balance efficiency and generalizati... | BCA | ABC | ABC | ABC | Selection 4 |
Our approach follows the logic of first fixing the entire path of the random actions u1u_{1} and then solving the follower’s optimization problem. <|MaskedSetence|> (2016) and Bo et al. <|MaskedSetence|> The following theorem establishes the existence of a semi-analytical equilibrium policy u2∗u_{2}^{*} (derived fr... | **A**: This reasoning is also closely related to ideas employed in mean-field models with common noise (see, e.g., Carmona et al.
**B**: Here, we provide one equilibrium solution by proving a verification theorem.
.
**C**: (2025)).
| ACB | ACB | ACB | ACB | Selection 3 |
<|MaskedSetence|> As new markets emerge, so do opportunities along investors looking for innovative forms of diversifying asset allocation. <|MaskedSetence|> This study is among the first to explore Hierarchical Risk Parity (HRP) portfolio optimization in this emerging financial ecosystem, highlighting its potential ... | **A**: However, compared to a maximum return-focused strategy, HRP prioritizes risk control over aggressive gains, appealing to investors seeking stability in a volatile market, a common characteristic in emerging markets.
.
**B**: 5 Discussion & Conclusions
Portfolio Optimization is an important topic in finance wo... | BCA | BCA | CBA | BCA | Selection 4 |
<|MaskedSetence|> <|MaskedSetence|> Both shifts are economically large: the dollar value of a 7%7\% smaller impact on a $1 million order. Figure 5(c) shows that the competitive market entails a much wider impact distribution centered at −0.0074-0.0074. <|MaskedSetence|> Collectively the three panels support the hypo... | **A**: The fatter left tail stems from sample paths in which the major trader was forced to accelerate lit trading while the minor traders are competing with him.
**B**:
Figure 4: Lit market trading rate
We then discuss the most important metric we are concerned, the market impact.
**C**: The histogram in Figure 5... | CAB | BCA | BCA | BCA | Selection 4 |
<|MaskedSetence|> <|MaskedSetence|> When b>0b>0 they experience a utility loss whenever realized quality falls short of the reference point EμvE_{\mu}v.
The timing is as follows. First, both sellers observe their own types. <|MaskedSetence|> Third, after observing rivals’ disclosed outcomes or non-disclosure, sel... | **A**: When b=0b=0 buyers are loss neutral.
**B**:
where b≥0b\geq 0 is common across buyers.
**C**: Second, each seller decides whether to purchase certification and, conditional on the outcome, whether to disclose it publicly.
| ACB | BAC | BAC | BAC | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> The futures dataset contains daily closing prices of soybean meal futures contracts traded on the Dalian Commodity Exchange, spanning the period from January 2022 to January 2024. The options dataset includes American put options on soybean meal futures, also traded on the Dalian C... | **A**: To ensure data quality and liquidity, we apply a filter excluding option contracts with daily trading volumes below 1,200 contracts.
**B**: These datasets serve as essential inputs for model parameter estimation and empirical analysis.
**C**: In our study, we utilize two datasets comprising soybean meal future... | CBA | CBA | BCA | CBA | Selection 4 |
<|MaskedSetence|> These results confirm a strong correlation between signal strength and directional accuracy, validating the probabilistic output of our model. As signal strength increases—i.e., as the model’s predicted probability deviates further from the 50% threshold—forecast accuracy also improves. However, this... | **A**: In contrast, periods 3h→2h3h\rightarrow 2h and 2h→1h2h\rightarrow 1h exhibit noticeable drops in accuracy, particularly during the summer and winter months, likely due to increased market volatility associated with seasonal VRE dynamics..
**B**: Period 1h→h21h\rightarrow\tfrac{h}{2} maintains relatively st... | CBA | CBA | CBA | ABC | Selection 1 |
<|MaskedSetence|> <|MaskedSetence|> <|MaskedSetence|> Its perturbed root mean square difference is threefold larger than the second most important state, dovol (dollar trading volume). In comparing the perturbed root mean square differences between macroeconomic states and firm characteristics, most of macroeconomic... | **A**:
Likewise, Figure 7 reports the ranking of important macroeconomic states using the same perturbation method.
**B**: Consistent with the existing literature, the market excess factor, emkt, stands out as the most important macroeconomic state.
**C**: Different from firm characteristics, the impact of macroeco... | ACB | ACB | BCA | ACB | Selection 1 |
The purpose of this paper is to thoroughly inspect the theoretical link between the prospects of human extinction and discounting. Mortality risk is known to be one of the key reasons why we discount the future: if survival is uncertain, one prefers to consume earlier rather than later—to avoid dying in the meantime an... | **A**: On the other hand, unless one’s preferences are purely selfish, mortality risk—as opposed to extinction risk—can be at least partially hedged against through reproduction.
**B**: We carry out the risk calculation from the perspective of a single, selfish, and finite-lived individual; a dynasty; and a social pla... | ABC | ABC | CBA | ABC | Selection 2 |
<|MaskedSetence|> <|MaskedSetence|> We begin by analyzing the basis functions uk(x)u_{k}(x) to assess commonalities and interpretations. Subsection 4.4 analyzes the time series scores to attach a temporal meaning to the coefficient dynamics.
Figure 5. First five PCA basis functions for each dataset. Rows: dataset,... | **A**:
We choose K=5K=5 as components to analyze, as this choice is sufficient for 90–95% of cumulative PVE for ARB5 and ETH5 over the windows considered.
**B**: It also appears that for these windows, no reasonable choice of KK will work for ETH30, but its analysis is considered a useful case study.
**C**: Three wi... | ABC | ABC | ABC | ABC | Selection 4 |
However, one might argue that obtaining such a result relies on the prior knowledge of the original trading IDs. The shuffling process may preserve hidden information—such as the distribution of trading frequencies — which could, in turn, explain the impact function observed for the synthetic metaorders. <|MaskedSete... | **A**: [2] is warranted..
**B**: Although appealing and somehow intuitive, this hypothesis was refuted in [2] through the construction of synthetic metaorders using public data.
**C**: Yet the justification of the success of that method in reproducing the SQL remained somewhat mysterious.
The framework we introduce... | BCA | BCA | CAB | BCA | Selection 4 |
<|MaskedSetence|> <|MaskedSetence|> We publicly contribute to LOB-Bench, enabling a direct comparison of generative LOB models with Level-2 and Level-3 data. We introduce an improved image representation of LOBs and an image-based diffusion framework for generative LOB modelling, leveraging the spatio-temporal struct... | **A**: 6.1.
**B**: Contributions
We provide a number of significant contributions to the LOB modelling field.
**C**: This is a novel approach to the problem, grounded in theoretical considerations and empirical performance.
| ABC | ABC | CBA | ABC | Selection 4 |
<|MaskedSetence|> <|MaskedSetence|> As discussed there, an unbouded state space implies that
some optimal paths can drift to plus or minus infinity, however our results are not affected. <|MaskedSetence|> In higher dimensions, extending Theorem 1 (and its refinements) is in principle possible under appropriate regul... | **A**: The bounded assumption can be relaxed, provided that one restricts the behavior of the tails of π\pi, as we show in the Online Appendix OA.1.
**B**:
The convexity assumption is technical and for convenience as it allow us to perform differentiation of the various functions.
**C**: Finally, the assumption of ... | ACB | BAC | BAC | BAC | Selection 4 |
<|MaskedSetence|> In particular, the latter is expected to play a critical role in sustaining PGM production, highlighting the interdependence of different platinum group metals. Reverdiau et al. [37] estimate that platinum demand from PEMEL fuel cells alone could reach 1,000 tons annually by 2050, which would corresp... | **A**: However, the conservative IEA-NZE scenarios would still be unattainable, as their initial material demands exceed feasible supply under any circumstance.
**B**:
Conversely, several studies suggest that overall platinum demand may continue to rise due to its broad range of applications, including jewelry, glas... | BCA | BCA | BCA | CBA | Selection 3 |
To train the entire neural network, we need to first train the VAE until it is able to reconstruct volatility surfaces satisfactorily. <|MaskedSetence|> In the second stage, We focus on training the MLP. During this process, we use the trained encoder to generate the latent variables to be fed into MLP, but the enco... | **A**: We train the VAE for 3,000 epoch, the MLP for 150 epoch and fine tune for another 50 epoch.
.
**B**: During this first stage of training, the MLP is not involved.
**C**: Lastly, in the fine tuning process, we train both the encoder and the MLP together as driven by MLP loss Eq. (3).
| BCA | BCA | BCA | CBA | Selection 1 |
<|MaskedSetence|> <|MaskedSetence|> It quantifies how large an unobserved confounder must be (expressed by its partial R2R^{2} with the treatment and the outcome) to reject the causal claim. <|MaskedSetence|> Note that while our DML estimators are non-parametric, the sensitivity analysis framework is based on a line... | **A**: The sensitivity analysis enable formal elimination of hypotheses that are plausible under DML but not robust under unobserved confounding.
**B**: To address this, we subject all statistical significant DML estimates to a formal sensitivity analysis based on Cinelli and Hazlett (2020).
**C**: 7.3.2 Sensitivity ... | CBA | CBA | CBA | CAB | Selection 1 |
<|MaskedSetence|> A diffusion process example
The diffusion problem we tackle is the most simple variation of a single file diffusing in a box. <|MaskedSetence|> In our variation, two identical Brownian particles diffuse in a box with a reflecting boundary condition at 0 and a killing boundary condition at 11 in the... | **A**: This is a classic problem [11, 15] that found numerous applications to various fields [14, 26], in particular the exit-time of colloids in a single file has been analyzed both theoretically in [36] and experimentally in [28].
**B**:
2.2.
**C**: The transitional probability density P2(x1,x2,t|x01,x02,0)P^{2}... | BAC | BAC | ACB | BAC | Selection 2 |
<|MaskedSetence|> 2024) and subsequently refined via reinforcement learning, learns to allocate portfolio weights to downstream experts according to the current market regime.
(iii) Four heterogeneous domain-specialised experts run in parallel, each optimising a single trading archetype. Their weighted outputs are fin... | **A**: (ii) A dynamic router, initialised by SFT(Doimo et al.
**B**: This separation of macro regime perception from micro strategy execution balances diversity, interpretability, and adaptability to heterogeneous market conditions.
Figure 1: Schematic of the MM-DREX framework.
**C**: Gray arrows indicate standard ... | ABC | BCA | ABC | ABC | Selection 3 |
<|MaskedSetence|> <|MaskedSetence|> This is because the primary components of the SSE 50 and CSI 300 are large-cap blue-chip stocks with lower volatility. <|MaskedSetence|> Crude oil, however, as a basic energy commodity, has relatively stable demand, and many market participants engage in hedging transactions, whic... | **A**: In the A-share market, its profitability for the SSE 50 and CSI 300 is weaker compared to that for the CSI 500.
**B**:
It is also found that the performance of Transformer-DDQN varies across different datasets.
**C**: In contrast, the CSI 500 primarily consists of mid- and small-cap stocks with a higher propo... | BAC | BAC | CAB | BAC | Selection 1 |
The largest categories of options are the 30+ DTE categories consisting mostly of standard expiration index options.212121Standard expiration options are AM-settled and expire on the third Friday of each month. The shorter maturities, which mostly consist of non-standard weekly expirations, are less represented in t... | **A**: This skew in implied volatility units is largest at maturities greater than 30 days.
**B**: These observations are consistent with empirical work documenting the properties of volatility surfaces generated by index options (Gatheral \APACyear2011).
.
**C**: For these maturities, an average OTM put option is n... | ACB | ACB | CAB | ACB | Selection 2 |
Although researchers have explored many different price-signal calculation mechanisms, each of the price signals in the papers referenced above lead to a total customer cost that is linear in quantity. <|MaskedSetence|> However, in [23], Huang et. al. explore quadratic energy costs and identify quadratic programming a... | **A**: This type of problem can be solved by each customer via a linear program.
**B**: In addition, for situations in which DSOs have insufficient information to construct distribution-system-optimal load profiles, we provide a heuristic method to utilize LRP for congestion management without communication between th... | ABC | ABC | ABC | ABC | Selection 1 |
<|MaskedSetence|> However, several challenges remain unresolved. First, most current time series models require standardization to transform the data into a numerical range that the model can process, such as the normalization techniques used in RevIN[17]. This inevitably leads to the loss of partial information from ... | **A**: Second, patch-based processing is commonly adopted, but this may not fully align with the size and location of critical features[18].
**B**:
To improve time-series forecasting performance, including financial time series such as exchange rate prediction, specialized models have been designed [14, 15, 16].
**C... | BAC | BAC | BAC | BAC | Selection 4 |
Using a binomial logit model, we estimated the parameters of this framework through maximum likelihood estimation. Our findings suggest that, on average, regular patients are willing to pay an additional RMB 725 (equivalent to USD 110) to preserve their current health by using ambulatory care. In contrast, disadvantag... | **A**: Regular patients, whose cost-sharing remained relatively unchanged, serve as the control group.
**B**: Our findings indicate that reducing inpatient cost-sharing led to a 6 percentage point decrease in ambulatory care use among disadvantaged patients, with a particularly pronounced reduction for patients with m... | ABC | CAB | CAB | CAB | Selection 4 |
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